373 Data Warehousing Jobs in Parbhani

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

AWS Data Engineer  Requirements  3+ year of experience working on AWS Cloud platform with strong experience in Python Knowledge on AWS services such as - AWS S3, Glue, API Gateway, Crawler, Athena, Cloudwatch, Lambda, EC2, Route53, IAM, Aurora/Dynamic DB, Redshift is an advantage Knowledge/experience on CI/CD deployment tools (CloudFormation, Terraform, Jenkins) Experience/knowledge with streaming technologies is must preferably Kafka Should have knowledge/experience with SQL Experience developing REST API Good analytical skills Knowledge or experience developing microservices Familiar working on Linux platforms Have good understanding on pros and cons and the cost impact of the AWS services being leveraged Good Communication skills

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Exp: 2+Years loc:Turbhe np:Immediate to 30 Days  SQL experience  Python coding required Azure or other cloud environment Alteryx experience or other data management tool Tableau experience or other business intelligence tool  Databricks experience or other big data platform   ankitapisal@peshr.com/9004076848

As a highly skilled SQL Developer at Fusion Practices, your role will involve working with large-scale data warehouse environments and bringing strong expertise in Microsoft SQL Server, Power BI, and banking domain concepts, particularly financial products and regulatory/financial requirements. Your key responsibilities will include: - Designing, developing, and maintaining high-performance MS SQL databases, stored procedures, and T-SQL queries tailored to banking systems and financial reporting. - Developing and implementing business intelligence solutions using Microsoft Power BI, including crafting dashboards, reports, and data visualizations for financial and regulatory analysis. - Working on data modeling, SSIS packages, SQL Agent jobs, SSRS reports, and Power BI dashboards with a focus on banking data and compliance needs. - Collaborating with stakeholders and business users to gather requirements related to financial products, reporting standards, and risk/regulatory needs. - Translating complex financial data requirements into scalable and performant technical solutions. - Implementing and maintaining RESTful APIs, supporting integrations with front-end frameworks (Angular/React) and back-end systems (.NET/C#). - Performing performance tuning, debugging, unit testing, and documentation for all solutions developed. - Ensuring adherence to compliance, audit, and financial reporting standards. Qualifications required for this role include: - 10+ years of hands-on experience with MS SQL Server, T-SQL, SSIS, SSRS, SQL Agent. - Strong expertise in Microsoft Power BI for data visualization and reporting. - Strong programming background in C#, JavaScript, and .NET framework. - Proven experience in the banking domain, particularly with financial products like loans and deposits. - Familiarity with financial reporting frameworks, regulatory compliance, and data privacy standards. - Knowledge of HTML, CSS, and front-end technologies (Angular/React) is a plus. - Strong grasp of version control tools (Git) and Agile methodologies. Please note that this job description is provided by Fusion Practices.,

Role Overview: As a Lead Data Engineer specializing in Databricks & Master Data Management, you will play a crucial role in designing, developing, and optimizing the next-generation data platform. Your responsibilities will include leading a team of data engineers, providing technical guidance, mentorship, and ensuring the scalability and high-performance of data solutions. Key Responsibilities: - **Technical Leadership:** - Lead the design, development, and implementation of scalable and reliable data pipelines using Databricks, Spark, and other relevant technologies. - Define and enforce data engineering best practices, coding standards, and architectural patterns. - Provide technical guidance and mentorship to junior and mid-level data engineers. - Conduct code reviews to ensure the quality, performance, and maintainability of data solutions. - **Databricks Expertise:** - Architect and implement data solutions on the Databricks platform, including Databricks Lakehouse, Delta Lake, and Unity Catalog. - Optimize Spark workloads for performance and cost efficiency on Databricks. - Develop and manage Databricks notebooks, jobs, and workflows. - Proficiently use Databricks features such as Delta Live Tables (DLT), Photon, and SQL Analytics. - **Master Data Management:** - Lead the technical design and implementation of the MDM solution for critical domains (e.g., Customer, Product, Vendor). - Define and implement data quality rules, entity resolution, matching, and survivorship logic to create and maintain Golden Records. - Partner with Data Governance and Data Stewardship teams to ensure organizational policies, standards, and data definitions for master data assets. - Ensure seamless provisioning of high-quality master data from the MDM/Lakehouse platform to downstream systems (ERP, CRM, BI). - **Pipeline Development & Operations:** - Develop, test, and deploy robust ETL/ELT pipelines for data ingestion, transformation, and loading from various sources. - Implement monitoring, alerting, and logging for data pipelines to ensure operational excellence. - Troubleshoot and resolve complex data-related issues. - **Collaboration & Communication:** - Work closely with cross-functional teams such as product managers, data scientists, and software engineers. - Communicate complex technical concepts clearly to both technical and non-technical stakeholders. - Stay updated with industry trends and emerging technologies in data engineering and Databricks. Qualifications Required: - Extensive hands-on experience with Databricks platform, including Databricks Workspace, Spark on Databricks, Delta Lake, and Unity Catalog. - Strong proficiency in optimizing Spark jobs and understanding Spark architecture. - Experience with Databricks features like Delta Live Tables (DLT), Photon, and Databricks SQL Analytics. - Deep understanding of data warehousing concepts, dimensional modeling, and data lake architectures. - Familiarity with data governance and cataloging tools (e.g., Purview, Profisee).,

You will be joining Improzo, a company focused on delivering quality-led commercial analytical solutions to clients in the Life Sciences industry. As the Director of Life Science Commercial Data Analytics, you will play a crucial role in developing and implementing innovative data-driven strategies to optimize commercial performance. Here is a breakdown of what you can expect in this role: **Key Responsibilities:** - Lead the development and execution of the commercial data analytics strategy aligning with business objectives. - Manage analytics projects from start to finish, collaborating with stakeholders to define project objectives. - Oversee the design and implementation of advanced analytics solutions and algorithms, including predictive modelling. - Provide guidance and mentorship to a team of analysts, ensuring they have the necessary tools and knowledge. - Develop and maintain a robust data infrastructure, utilizing statistical techniques to derive insights from complex datasets. - Stay updated on the latest advancements in data science and technology to identify opportunities for business improvement. **Qualifications:** - Bachelor's or Master's degree in a quantitative field like computer science, statistics, or mathematics. - 8+ years of experience in data-driven roles with a strong understanding of the life sciences and bio-pharma industry. - Proven experience in leading high-performing analytics teams and delivering projects across commercial analytics. - Strong understanding of data warehousing, data mining, and data visualization tools. - Proficiency in programming languages like R or Python, familiarity with SQL, and experience with data visualization tools. - Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. - Understanding of pharmaceutical or biotech industry regulations and compliance requirements. - Excellent communication, presentation, and interpersonal skills. - Attention to detail, quality-driven mindset, and client-centric approach. - Ability to work independently and as part of a cross-functional team, with strong leadership skills. In addition to the exciting challenges of the role, you can look forward to a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development and growth opportunities. You will be joining Improzo, a company focused on delivering quality-led commercial analytical solutions to clients in the Life Sciences industry. As the Director of Life Science Commercial Data Analytics, you will play a crucial role in developing and implementing innovative data-driven strategies to optimize commercial performance. Here is a breakdown of what you can expect in this role: **Key Responsibilities:** - Lead the development and execution of the commercial data analytics strategy aligning with business objectives. - Manage analytics projects from start to finish, collaborating with stakeholders to define project objectives. - Oversee the design and implementation of advanced analytics solutions and algorithms, including predictive modelling. - Provide guidance and mentorship to a team of analysts, ensuring they have the necessary tools and knowledge. - Develop and maintain a robust data infrastructure, utilizing statistical techniques to derive insights from complex datasets. - Stay updated on the latest advancements in data science and technology to identify opportunities for business improvement. **Qualifications:** - Bachelor's or Master's degree in a quantitative field like computer science, statistics, or mathematics. - 8+ years of experience in data-driven roles with a strong understanding of the life sciences and bio-pharma industry. - Proven experience in leading high-performing analytics teams and delivering projects across commercial analytics. - Strong understanding of data warehousing, data mining, and data visualization tools. - Proficiency in programming languages like R or Python, familiarity with SQL, and experience with data visualization tools. - Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. - Understanding of pharmaceutical or biotech industry regulations and compliance requirements. - Excellent communication, presentation, and interpersonal skills. - Attention to detail, quality-driven mindset, and client-centric approach. - Ability to work independently and as part of a cross-functional team, with strong leadership skills. In addition to the exciting challenges of the role, you can look forward to a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development and growth opportunities.

As a Data Engineer - Snowflake at Barclays, you will play a crucial role in evolving the infrastructure and deployment pipelines, driving innovation and operational excellence. Your main responsibilities will include harnessing cutting-edge technology to build and manage robust, scalable, and secure infrastructure to ensure the seamless delivery of digital solutions. Key Responsibilities: - Strong hands-on expertise in Snowflake, including data modeling, SQL, performance tuning, Snowflake objects, and features. - Proficiency in SQL and experience with ETL/ELT development. - Working experience with cloud-based data platforms, preferably AWS. - Familiarity with data formats such as Parquet, Iceberg, and JSON. - Experience with data orchestration tools. - Understanding of data architecture, data warehousing concepts, and agile delivery practices. - Working knowledge of Tableau or similar BI tools for downstream consumption. Desirable Skillsets: - Design, develop, test, and deploy end-to-end data solutions on Snowflake within an agile delivery model. - Build data pipelines for ingestion, transformation, and consumption of structured and semi-structured data. - Design and implement data models and products to support analytical and reporting needs. - Develop and optimize Snowflake objects like databases, schemas, tables, views, stages, file formats, stored procedures, and user-defined functions. - Integrate data from multiple sources, including AWS S3 and Glue Catalog, using efficient data formats like Parquet and Iceberg. - Implement and manage data orchestration and workflow automation for data pipelines. - Collaborate with business, analytics, and platform teams to deliver reliable and high-quality data products. - Monitor, troubleshoot, and optimize pipeline performance and cost efficiency. - Adhere to best practices in data governance, security, and CI/CD automation for data environments. - Demonstrate a strong analytical and problem-solving mindset. - Possess excellent communication and collaboration skills. - Ability to work in a fast-paced agile team environment and deliver incremental value. In this role, you will be based out of Pune. Purpose of the role: Your main purpose is to build and maintain systems that collect, store, process, and analyze data, including data pipelines, data warehouses, and data lakes, to ensure accurate, accessible, and secure data. Accountabilities: - Build and maintain data architecture pipelines for the transfer and processing of durable, complete, and consistent data. - Design and implement data warehouses and data lakes to manage appropriate data volumes, velocity, and security measures. - Develop processing and analysis algorithms suitable for the intended data complexity and volumes. - Collaborate with data scientists to build and deploy machine learning models. Analyst Expectations: - Perform activities in a timely and high standard, driving continuous improvement. - Lead, supervise, guide, and support professional development within a team. - Responsible for end results of a team's operational processing and activities. - Take ownership of managing risk and strengthening controls within the work area. - Demonstrate understanding of how areas coordinate and contribute to the organization's objectives. - Resolve problems, guide team members, and communicate complex/sensitive information effectively. - Act as a contact point for stakeholders outside the immediate function and build a network of contacts. As a Barclays colleague, you are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

As a Data Engineer specializing in Databricks, your role involves developing, supporting, and steering end-to-end business intelligence solutions. You will work closely with business analysts and data architects to translate requirements into technical implementations. Your key responsibilities will include: - Designing, developing, implementing, and maintaining pyspark code through Databricks UI to enable data and analytics use cases for clients. - Coding, testing, and documenting new or modified data systems to create robust and scalable applications for data analytics. - Addressing performance, scalability, capacity, and reliability issues by diving deep into them. - Conducting research projects and Proof of Concepts (POC) to enhance data processing capabilities. In terms of work and technical experience, it is essential to have: - 3+ years of hands-on experience with Databricks and PySpark. - Proficiency in SQL and data manipulation skills. - A good understanding of data warehousing concepts and technologies. Additionally, it would be beneficial to have: - Familiarity with Google Pub sub, Kafka, or MongoDB. - Knowledge of ETL processes and tools for data extraction, transformation, and loading. - Understanding of cloud platforms like Databricks, Snowflake, and Google Cloud. - Knowledge of data governance and data quality best practices. Qualifications required for this role include: - A Bachelor's degree in computer science, engineering, or a related field. - Demonstrated continued learning through technical certifications or related methods. - At least 3 years of relevant experience in Data Analytics, preferably in the Retail domain. As an ideal candidate, you should be: - Self-motivated and focused on delivering outcomes for a fast-growing team and firm. - Capable of persuasive communication through speaking, writing, and client presentations.,

As an exceptional application developer in Russells Technology Application Services team, you will be responsible for delivering highly scalable services and world-class product experiences. You will work on multiple layers of the technology stack, collaborate with team members, and other development teams at Russell to build applications and services that impress users. You will excel in a highly collaborative, fast-paced, agile software development environment. Your responsibilities include designing and delivering maintainable, testable, and reusable production quality code in a corporate financial environment using Agile development practices. - Design and deliver maintainable, testable, and reusable production quality code in a corporate financial environment using Agile development practices - Use technical expertise combined with business acumen to envision and implement solutions to strategic business challenges - Work directly with business units to implement features in existing software and build new prototypes and software solutions - Optimize application performance and stability by anticipating, investigating, and resolving problems proactively - Conceptualize and articulate solutions to team members and clients - Take responsibility for the analysis, design, coding, testing, debugging, and documentation of complex technical systems - Find and deliver new ways to develop and improve processes and technologies - Act as a primary contact for users to address development questions and concerns - Perform additional duties as assigned - Perform all responsibilities following Russell Investments Core Competencies Qualifications Required: - Bachelor's degree in computer science, Mathematics, Statistics, or related engineering field required; Advanced degree preferred - 8 years of Software Development experience required, with at least 5 years of experience in ETL development and data warehousing - Experience collaborating with multiple teams, including business unit teams, to deliver solutions through all aspects of the SDLC - Experience with SQL, SSIS, SSRS, and data modeling - Experience with reporting tools such as Power BI or Cognos - Strong understanding of the Software Development Life Cycle (SDLC) and Agile methodologies - Proven ability to stay current with emerging technologies and new applications of existing technologies - Experience with continuous integration and continuous delivery (CI/CD) - SQL database schema design experience - Experience with cloud technologies such as Snowflake or Azure - Experience with migrating ETL processes from SSIS to C# - Experience with C#, .NET Core, python, Service Oriented Architecture (SOA), and Web API - Excellent verbal and written communication skills and ability to interface with all domains and seniority levels in the organization - Experience with Git version control Please note that full-time hours are required, with additional hours as necessary.,

As a Data Analyst at our company, you will play a crucial role in importing, inspecting, cleaning, transforming, validating, modeling, and interpreting data collections to align with the business goals. You will be responsible for ensuring that the data sources and repositories deliver consistent and reliable data. Utilizing various algorithms and IT tools based on the specific requirements, you will prepare reports in the form of visualizations like graphs, charts, and dashboards. Your key responsibilities will include: - Collecting, cleaning, and analyzing data sets efficiently - Reporting on data findings to aid in decision-making processes There are no specific qualifications mentioned in the job description.,

Role Overview: As a Project Manager/Senior Project Manager at GormalOne LLP, you will play a crucial role in driving data-centric product initiatives for the DairyTech ecosystem. Your focus will be on building scalable data platforms, enabling advanced analytics, and delivering actionable insights through intuitive dashboards and visualization tools to empower decision-making across supply chain, operations, sales, and customer engagement. Key Responsibilities: - Define and own the product strategy for the Data & Analytics platform to support business growth in the DairyTech domain. - Identify data-driven opportunities in collaboration with business stakeholders, ensuring alignment with organizational goals. - Prioritize features, enhancements, and integrations based on impact, feasibility, and scalability. - Oversee the design and development of data warehouse, data lakes, and streaming platforms leveraging Big Data technologies. - Implement Kafka, ETL frameworks, and scalable architecture for real-time and batch processing. - Ensure data quality, governance, and compliance across all layers of the ecosystem. - Drive the development of BI dashboards and reporting solutions using Power BI, Tableau, and other visualization tools. - Translate raw data into actionable insights for operations, supply chain optimization, sales forecasting, and customer experience. - Support predictive and prescriptive analytics initiatives in collaboration with data science teams. - Act as the bridge between business teams, engineering, and leadership, ensuring effective communication and collaboration. - Mentor and guide cross-functional teams, instilling best practices in data-driven product management. - Partner with external vendors and technology providers to enhance the data ecosystem. Qualification Required: - Education: Bachelors/Masters in Computer Science, Engineering, Data Science, or related field. MBA preferred. - Experience: 15+ years in Project Management, Data Engineering, or Analytics, with proven leadership in building and scaling data-driven platforms in Product or IT services firms, managing huge data warehouses and reporting teams. - Technical Expertise: Strong knowledge of Data Warehousing, Big Data frameworks, Kafka, Cloud Data Platforms (AWS/Azure/GCP). Hands-on exposure to BI tools (Power BI, Tableau, Qlik) and dashboard design. Experience with ETL processes, data modeling, and governance frameworks. Understanding of Machine Learning and AI to provide Actionable Insights based on Data. - Domain Knowledge: Prior experience in DairyTech, AgriTech, FMCG, or food & beverage industries, Retail nice to have. - Soft Skills: Excellent stakeholder management, strong problem-solving, analytical mindset, and ability to lead diverse teams.,

As an ETL & Data Warehousing Developer, your role involves designing, building, and optimizing robust ETL workflows to integrate data from diverse sources into the data warehouse. You will be responsible for implementing data quality and validation checks to ensure accuracy and consistency, translating business requirements into effective data models and transformation logic, and writing complex SQL queries to extract, transform, and load data efficiently. Additionally, you will develop star and snowflake schema data models for analytical reporting and partner with BI teams to integrate ETL pipelines with Qlik Sense or other BI tools. Furthermore, you will maintain and enhance the current data warehouse infrastructure for scalability and performance, as well as troubleshoot data anomalies and recommend long-term solutions. Key Responsibilities: - Design, build, and optimize robust ETL workflows - Implement data quality and validation checks - Translate business requirements into effective data models and transformation logic - Write complex SQL queries for data extraction, transformation, and loading - Develop star and snowflake schema data models - Partner with BI teams to integrate ETL pipelines with Qlik Sense or other BI tools - Maintain and enhance data warehouse infrastructure - Troubleshoot data anomalies and recommend solutions Qualifications Required: - Minimum 5 years of hands-on experience in ETL development and Data Warehousing - Strong command over SQL and RDBMS (Oracle, SQL Server, PostgreSQL, etc.) - Experience with leading ETL tools like Informatica, Talend, DataStage, or similar - Solid knowledge of dimensional modeling, star/snowflake schemas, and data integration best practices - Strong performance tuning experience for both SQL and ETL jobs Good to Have: - Experience with Qlik Sense, QlikView, or Qlik Replicate - Exposure to Power BI, Tableau, Looker, or other visualization tools - Familiarity with cloud platforms (AWS, Azure, GCP) - Knowledge of data governance, data cataloging, and metadata management If you choose to work with us, you will join a team focused on leveraging data to drive business decisions effectively.,

As an Advisor, Data Analysis at Fiserv, your role will be crucial in formulating and delivering automated reports and dashboards using Power BI and other reporting tools. You will focus specifically on inquiry reporting metrics such as MTTR, Avg. Aging, and platform adoption. Your expertise in SQL queries, Power BI, and SQL Server Integration Services (SSIS) will be essential in understanding business requirements related to inquiry management and translating them into functional specifications for reporting applications. **Key Responsibilities:** - Formulate automated reports and dashboards using Power BI and other reporting tools, with a focus on inquiry reporting metrics. - Understand specific business requirements related to inquiry management and set functional specifications for reporting applications. - Utilize expertise in SQL queries, Power BI, and SSIS to gather and analyze data related to inquiries for reporting purposes. - Develop technical specifications from business needs and establish deadlines for work completion. - Design data models that transform raw data related to inquiries into insightful knowledge by understanding business requirements in the context of inquiry reporting metrics. - Create dynamic and eye-catching dashboards and reports using Power BI, highlighting key metrics and trends related to inquiries. - Implement row-level security on data and comprehend Power BI's application security layer models, ensuring data privacy and confidentiality related to inquiries. - Collaborate with cross-functional teams to integrate, alter, and connect data sources related to inquiries for business intelligence purposes. - Make necessary tactical and technological adjustments to enhance the current inquiry management reporting systems. - Troubleshoot and resolve issues related to data quality and reporting specifically focused on inquiries. - Communicate effectively with internal teams and client teams to explain requirements and deliver solutions related to inquiry reporting metrics. - Stay up to date with industry trends and advancements in Power BI and business intelligence for effective inquiry reporting. **Qualifications Required:** - Bachelor's degree in Computer Science, Information Systems, or a related field. - Proven experience as a Power BI Developer or similar role, with a specific focus on reporting related to inquiries or customer service metrics. - Expertise in SQL queries, Power BI, and SQL Server Integration Services (SSIS). - Excellent communication skills to effectively articulate requirements and collaborate with internal and client teams. - Strong analytical thinking skills for converting data related to inquiries into illuminating reports and insights. - Knowledge of data warehousing, data gateway, and data preparation projects. - Familiarity with the Microsoft SQL Server BI Stack, including SSIS, TSQL, Power Query, MDX, PowerBI, and DAX. - Detailed knowledge and understanding of database management systems, OLAP, and the ETL framework. - Proficiency in Microsoft Excel and other data analysis tools. - Ability to gather and analyze business requirements specific to inquiries and translate them into technical specifications. - Strong attention to detail and ability to QA and validate data for accuracy. - Ability to manage multiple projects and deadlines simultaneously. - Knowledge of Agile development methodologies is a plus. - Ability to learn and adapt to new technologies and tools quickly.,

As a BI Data Engineer at Dentsu, your role within the Enterprise Data team will be pivotal in driving the organization towards becoming a fully digital entity. You will be responsible for building and implementing cutting-edge business analytics solutions using Azure data engineering tools and cloud-based databases. Your expertise in data engineering, ADF Integration, and database development will be crucial in delivering high-quality technical solutions that align with the company's business objectives. **Key Responsibilities:** - Build Enterprise data engineering and Integration solutions utilizing Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Fabric. - Develop enterprise ETL and integration routines using Azure Data Factory. - Evaluate emerging Data engineering technologies, standards, and capabilities. - Collaborate with business stakeholders, product managers, and data scientists to translate business objectives into technical solutions. - Work with DevOps, engineering, and operations teams to implement CI/CD pipelines for smooth deployment of data engineering solutions. **Required Skills and Experience:** **Technical Expertise:** - Proficiency in the Azure platform, including Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Fabric. - Exposure to Data bricks and lakehouse architecture & technologies. - Extensive knowledge of data modeling, ETL processes, and data warehouse design principles. - Experience in machine learning and AI services in Azure. **Professional Experience:** - 5+ years of experience in database development using SQL. - 5+ years integration and data engineering experience. - 5+ years experience using Azure SQL DB, ADF, and Azure Synapse. - 2+ years experience using Power BI. - Comprehensive understanding of data modeling. - Relevant certifications in data engineering, machine learning, AI. **Key Competencies:** - Expertise in data engineering and database development. - Familiarity with Microsoft Fabric technologies including One Lake, Lakehouse, and Data Factory. - Strong understanding of data governance, compliance, and security frameworks. - Proven ability to drive innovation in data strategy and cloud solutions. - Deep understanding of business intelligence workflows and the ability to align technical solutions. - Strong database design skills, including an understanding of both normalized form and dimensional form databases. - In-depth knowledge and experience of data warehousing strategies and techniques (e.g., Kimball Data warehousing). - Experience in Cloud-based data integration tools like Azure Data Factory. - Experience in Azure DevOps or JIRA is a plus. - Experience working with finance data is highly desirable. - Familiarity with agile development techniques and objectives. As a BI Data Engineer at Dentsu, you will be based at DGS India - Mumbai - Thane Ashar IT Park on a full-time permanent contract.,

As an Associate consultant, you will play a crucial role in developing impactful analytics solutions to enhance commercial performance for life sciences clients. Your strong analytical skills will be instrumental in providing actionable insights, solving complex business challenges, and utilizing advanced analytical techniques for informed decision-making. Additionally, you will have the opportunity to mentor junior team members. Key Responsibilities: - Translate business requirements into technical specifications and lead the design, development, and deployment of BI solutions using Tableau, Power BI, and Excel-based reporting - Apply data visualization best practices and advanced analytical techniques to create interactive dashboards that facilitate decision-making - Utilize agile methodologies and quality standards to ensure the reliability of BI solutions through QA reviews, mid-development validations, and unit testing - Collaborate with project leads and clients to refine reporting needs, provide updates, and present results through compelling data stories and visualizations - Manage and support BI/reporting developers, mentor junior associates on visualization techniques, and ensure seamless task execution across teams - Deliver visually driven presentations and dashboards tailored to stakeholders - Stay updated on new Power BI/Tableau features, adopt emerging visualization trends, and continuously optimize dashboards for enhanced usability and impact Qualifications Required: - 2-4 years of relevant experience in Power BI/Tableau for reporting and analytics projects (consulting experience preferred) - Exposure to medium-to-large scale technology/BI solution delivery environments - Ability to work effectively in global, cross-functional teams and support multiple projects - Hands-on experience with Power BI and/or Tableau for dashboards, reports, and interactive visualizations - Strong expertise in SQL for querying, data analysis, and report development - Familiarity with data pipelines, data quality, and DBMS fundamentals - Proficiency in MS Excel and modern BI platforms - Understanding of data modeling concepts, BI data management best practices, and analytics methodologies - Basic exposure to cloud BI environments (Azure, AWS, or GCP) and distributed data systems - Foundational programming knowledge in Python or similar scripting languages for analytics/automation Note: The company may use AI tools to support parts of the hiring process, but final decisions are made by humans. For more information on data processing, please reach out to the company.,

Role Overview: You will be stepping into a leadership QA role at a global digital solutions company, known for its expertise in cloud, data engineering, and quality assurance. Your main responsibilities will revolve around managing both manual and automated testing across ETL pipelines, UI, and databases. In this role, you will lead a team and collaborate cross-functionally across global teams, implementing best practices in testing, owning quality strategy documentation, and integrating with CI/CD tools. Key Responsibilities: - Lead and manage a QA team comprising 4 or more members, overseeing ETL, UI, DB, and end-to-end testing. - Analyze requirements and create detailed test cases and test data, both manual and automated. - Validate ETL workflows and transformation logic using advanced SQL, preferably Snowflake, Postgres, or MySQL. - Develop and maintain automation scripts using BDD, such as Gherkin/Behave, Pytest in Python. - Integrate automation frameworks with CI/CD tools like Jenkins, GitHub, Rundeck. - Create and maintain documentation including Test Strategy, BRDs, Defect Reports, etc. - Foster collaboration across DevOps, SRE, developers, and stakeholders. - Provide senior leadership with testing metrics and improvement plans. Qualification Required: - 9-12 years of total QA experience with a minimum of 6 years in ETL/UI/DB testing. - At least 3 years of experience in automation testing using tools like Selenium v3+, Playwright, with proficiency in Python. - Strong hands-on experience with SQL queries, particularly in Snowflake or Postgres. - Previous exposure to AWS or other cloud platforms. - Demonstrated leadership skills managing a team of at least 2 QA members. - Familiarity with Agile methodologies such as Scrum/Kanban. - Excellent communication and stakeholder management abilities. Additional Company Details: The company is renowned for its expertise in cloud, data engineering, and quality assurance, with a strong focus on innovation and agile delivery across BFSI and Healthcare sectors.,

You will be working as an experienced ETL & Data Warehouse Developer at Kogta Financial Ltd, utilizing AWS services to design, develop, and optimize ETL processes and data warehousing solutions on the AWS platform. Your responsibilities will include: - Designing, developing, and implementing robust ETL processes using AWS Glue, AWS Data Pipeline, or custom scripts as needed. - Ensuring efficient extraction, transformation, and loading of data from diverse sources into the data warehouse. - Designing and maintaining data warehouse solutions on AWS, focusing on scalability, performance, and reliability. - Implementing and optimizing data models for efficient storage and retrieval in AWS Redshift. - Leveraging AWS services such as S3, Lambda, Glue, Redshift, and others to build end-to-end data solutions. - Crafting complex SQL queries to support data analysis, reporting, and business intelligence requirements. - Optimizing SQL code for performance and efficiency, troubleshooting any data retrieval issues. - Collaborating with cross-functional teams to integrate data from various sources into the data warehouse. - Implementing and maintaining security measures to protect data integrity and ensure compliance with industry standards. - Documenting ETL processes, data models, and system configurations for future reference. Qualifications required for this role include: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience as an ETL & Data Warehouse Developer focusing on AWS services and SQL expertise. - Strong proficiency in SQL, stored procedures, and views. - In-depth understanding of AWS services related to data processing and storage. - Experience with data modeling and designing efficient data warehouses. - Familiarity with best practices in data security, compliance, and governance. - Strong problem-solving and analytical skills. - Excellent communication and collaboration skills. - Certification in AWS or relevant technologies. Please note that the above details are specific to the job description provided and do not include any additional information about the company.,

As a Tableau Data Visualization Lead, you will be responsible for designing, developing, and maintaining interactive dashboards and visual analytics solutions that drive business insights and decision-making. **Job Responsibilities:** - Understanding and performing analysis of source systems data. - Estimation and delivery of adhoc and new Tableau MIS. - Designing and developing advanced & visually compelling Tableau dashboards and visualizations tailored to business needs in the Lending domain. Delivering in data visualization best practices, Tableau BI functionalities, and data storytelling. - Collaborating with business stakeholders to gather requirements and translate them into effective data visualizations. - Optimizing Tableau workbooks for performance and scalability. - Integrating and processing large datasets using Databricks (Spark-based platform). - Building and maintaining data transformation notebooks in Databricks to support reporting and analytics. - Ensuring data quality, consistency, and governance across all visualizations. - Working closely with data engineers, analysts, and business teams to deliver end-to-end BI solutions. - Providing technical leadership and mentorship to junior team members. - Staying updated on industry trends, optimizing performance, and ensuring the usability and scalability of Tableau solutions. - Proactively monitoring, data reconciliation, testing, proper documentation, and troubleshooting of MIS issues. - Ensuring developments follow standard coding patterns and are fully documented for audit submissions. - Ensuring compliance with data governance and data security/masking standards for data delivery. **Competencies for the job:** - Proven experience with Advanced SQL and data transformation for Visualization purposes. - Experience in SQL Query Development (T-SQL or Spark SQL). - 6 to 10 years of experience in data visualization and BI development. - Expert-level proficiency in Tableau including calculated fields, parameters, LOD expressions, Dashboard actions, etc. - 1 to 2 years of hands-on experience in Databricks including notebooks, Delta Lake, Spark SQL, and Python/Scala. - Strong SQL skills and experience working with relational databases. - Experience in the Lending domain with an understanding of loan lifecycle, credit risk, collections, and regulatory reporting. - Familiarity with data modeling, data warehousing concepts, and performance tuning. - Excellent communication and stakeholder management skills. - Experience in advance analytics data modeling and visualization scenarios. **Desired Experience:** - Bachelors or Masters degree in Computer Science, Information Systems, or related field. - Tableau certification is a plus. - Experience with cloud platforms (Azure, AWS, or GCP) is desirable. - Knowledge of Agile methodologies and tools like JIRA. - 5+ years of hands-on experience in Tableau Data Visualization and Data Modeling. - Excellent communication skills in written and verbal English. - Knowledge of core functions of a large NBFC/Bank including Sales, Credit, Collections, Finance, and Accounts.,

As a Power BI Data Analyst at our company located in Mumbai/ Delhi NCR, you will be responsible for leveraging Power BI to build, maintain, execute, and deliver data assets. This will involve using data analytics tools such as proprietary tools, Excel, and scripting, validating raw data quality, and working with SQL/ Power BI, and other data visualization applications. Your key responsibilities will include: - Analyzing large data sets in Power BI, SQL, python to find patterns and provide a concise summary - Implementing, maintaining, and troubleshooting analytics solutions to derive key insights based on SQL/ Power BI visualization and data analysis - Improving ETL setup and developing components for rapid deployment and configuration - Conducting data assessment, performing data quality checks, and transforming data using SQL and ETL tools - Handling, designing, and optimizing complex ETL processes using Power BI / SQL - Utilizing visualization tools like Power BI to solve business problems related to data exploration and visualization - Demonstrating good knowledge in handling large amounts of data through SQL - Having basic knowledge in Python for data processing, with a very good understanding of data warehousing and data lake concepts In addition to the technical qualifications, we prefer candidates with a Bachelor's degree in Engineering / Information Technology from a reputed college. Other competencies that we value include being self-motivated, innovative, capable of handling stress, willingness to travel, and meet deadlines. If you are someone with 2-4 years of experience in this field and possess the mentioned skills and qualifications, we encourage you to apply for this exciting opportunity.,