2 Snowflake Jobs nearby Mysore

Role Overview: As a Senior Data Engineer at iSOCRATES, you will have a pivotal role in uncovering patterns in data sets and creating algorithms to enhance the usability of raw data for the organization. Your position necessitates a broad array of technical competencies, encompassing a profound understanding of SQL database design, proficiency in multiple programming languages, and adeptness in team management. Your primary responsibilities will include devising and implementing production data pipelines within a big data framework, managing data migration initiatives, crafting clean code following Test-Driven Development (TDD) principles, and innovating contemporary data architecture strategies to align with business goals. Furthermore, you will be instrumental in defining departmental priorities, objectives, and goals, as well as fostering collaborations between the Data Engineering department and other divisions within iSOCRATES, as well as external stakeholders. Key Responsibilities: - Design and construct production data pipelines spanning from data ingestion to consumption within a big data environment - Revamp existing legacy code to enhance performance metrics - Oversee the technical facets of data migration activities from on-premises to cloud infrastructures - Author clean and iterative code adhering to TDD standards - Utilize continuous delivery methodologies for deploying, supporting, and managing data pipelines - Innovate and manage contemporary data architecture practices to fulfill business objectives - Develop data models and assess various modeling methodologies - Integrate data quality considerations into day-to-day tasks and delivery processes - Establish departmental priorities, objectives, and goals, and foster service-oriented relationships Qualifications: - Bachelor's or Master's degree in computer science, engineering, or a related field - 4 to 6 years of prior experience in data and analytics - At least 3 years of hands-on experience with MSSQL, Oracle, or MySQL - Profound expertise in SQL and NoSQL databases - Proven track record in executing on-premises to cloud data migration projects - Proficiency in constructing production data pipelines using Python, AWS, or Snowflake - Familiarity with AWS data and analytics services like Redshift, S3, Athena, Glue, and Snowflake - Extensive knowledge of data warehousing, data modeling, ETL, and ELT processes - Holding an AWS Certified Data Analytics Specialist or AWS Certified ML Specialist certification would be advantageous - Exposure to Media & Marketing sectors is considered a plus - Familiarity with GCP and visualization tools would be beneficial - Possess structured thinking abilities with a penchant for data-driven decision-making - Strong aptitude for problem-solving and client interactions - Excellent communication skills and a collaborative team player - Capability to tackle intricate challenges and deliver results under constraints - Willingness to work during late EMEA or ET hours - Openness to working from the Mysore or Bangalore location,

As an Engineering Manager at Abacus Insights, you will lead, direct, manage, and participate in the day-to-day operations of a team of software and data engineers. You will work closely with quality engineers, product owners, and business stakeholders to ensure that business and product/project objectives are met. Your responsibilities include providing administrative, technical, and people leadership for multiple, diverse, and geographically distributed teams. You will also be involved in coaching, mentoring, and guiding teams to enable future success. **Key Responsibilities:** - Adept at clear, confident communication with executive staff - Skillful at driving the Interop project and Center of Excellence - Meaningful experience in the world of Data, particularly in API ecosystems around FHIR data stores - Capable of credible customer interactions - Mentoring development team members to ensure adherence to software architecture strategy and coding standards - Participating in software architectural discussions and influencing decisions for consistency - Identifying people and process improvement strategies for the Scrum team(s) - Managing moderate-sized software development teams across multiple product and system lines - Ensuring projects are completed on time and according to quality standards - Facilitating communication upward around architecture, design, and implementation objectives - Leading and managing direct reports, setting clear goals and objectives - Conducting one-on-ones, performance reviews, and career development plans with associates **Qualifications Required:** - Bachelor's degree, preferably in Computer Science, Computer Engineering, or a related IT discipline - 5+ years of experience managing software developers or software teams - 7+ years of commercial software development experience - 3+ years of experience building or using cloud services in a production environment - 2+ years of experience working with FHIR standard and FHIR databases - Go-getter with a self-starter mindset - Excellent oral and written communication skills - Strong analytical, problem-solving, organization, and prioritization skills - Solid understanding of software engineering fundamentals - Experience in designing scalable, distributed systems for running data processing applications and services - Ability to manage personnel activities of staff and develop resource planning to meet the team's needs Abacus Insights is committed to continuously building an inclusive culture where every team member can bring their authentic selves to work. Abacus Insights is an Equal Opportunity Employer. If you meet the qualifications and are excited about using cutting-edge cloud technology to improve the US healthcare industry, we encourage you to apply and be part of our innovative team at Abacus Insights.,

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.

Job Title: Senior Snowflake Data Developer Experience: 6 - 10 Years Location: Bangalore / Mumbai / Chennai / Pune Employment Type: Full-Time Job Description: We are looking for an experienced Senior Snowflake Data Developer with a strong background in data engineering, Snowflake implementation, and cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, SQL, Python, and cloud platforms (AWS/Azure), along with excellent analytical and communication skills. Key Responsibilities: Lead and implement end-to-end Snowflake projects, including migration from traditional data warehouses or new implementations. Develop, optimize, and tune SQL and SnowSQL queries for performance and scalability. Apply data modelling principles and best practices for designing and maintaining data structures. Work extensively on AWS/Azure cloud platforms for data processing and integration. Utilize advanced Snowflake features including Data Masking, Tagging, SnowPipe, RBAC controls, Virtual Warehouse sizing, Zero Copy Clone, Data Sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, Iceberg Tables, Dynamic Tables, Micro Partitioning, and Query Profiler. Implement ETL/ELT integration, data ingestion, conversion, and migration workflows. Develop and maintain scripts using Python and PySpark. Collaborate with teams using Jira, Confluence, and Agile methodologies. Prepare and review technical documentation, specifications, and peer reviews. Ensure adherence to cloud best practices and organizational data standards. Good to Have: Snowflake Certification. Hands-on experience with DBT (Data Build Tool). Experience in preparing and reviewing functional and technical specification documents. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Client-facing experience with strong ownership and attention to detail. Immediate joiners will be preferred.

As an experienced candidate with 5+ years of overall experience, including 3+ years in Snowflake and recent project experience in Snowflake, you will be expected to have a deep understanding of Snowflake and its utilities. Your 2+ years of relevant experience in DBT will also be crucial for this role. Additionally, having experience in Python, Matillion, and Snowpark will be considered an advantage. Key Responsibilities: - Design, develop, document, test, and debug new and existing software systems. - Write Snowflake SQL queries and develop scripts in Unix, Python, etc., for Extract, Load, and Transform data. - Utilize Snowflake utilities such as SnowSQL, SnowPipe, Snowpark, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. - Demonstrate an in-depth understanding of Data Warehouse/ODS, ETL concepts, and modeling structure principles. - Work on Data warehousing tasks including OLTP, OLAP, Dimensions, Facts, and Data modeling. - Gather and analyze system requirements effectively. - Collaborate with teams and function well in a cross-team environment. - Familiarity with data visualization tools like Tableau/Power BI will be beneficial. - Exposure to the AWS/Azure Data ecosystem would be a plus. Qualifications Required: - 5+ years of overall experience. - 3+ years of relevant experience in Snowflake with recent project experience. - 2+ years of relevant experience in DBT. - Experience in Python, Matillion, and Snowpark will be advantageous. - Good working knowledge of DBT, Snowflake, and data visualization tools. - Ability to work effectively in a team and gather system requirements. - Exposure to AWS/Azure Data ecosystem would be beneficial. This job will provide you with the opportunity to leverage your expertise in Snowflake, DBT, and related technologies to contribute to the development and optimization of software systems. Your role will involve working closely with data warehousing concepts and collaborating with teams to meet system requirements effectively.,

As a Senior Snowflake Developer at YASH Technologies, you will be responsible for the following: - Utilizing your 4-5 years of IT experience in Analysis, Design, Development, and unit testing of Data warehousing applications using industry-accepted methodologies and procedures. - Writing complex SQL queries to implement ETL (Extract, Transform, Load) processes and for Business Intelligence reporting. - Demonstrating strong experience with Snowpipe execution, Snowflake Datawarehouse, deep understanding of snowflake architecture and processing, creating and managing automated data pipelines for both batch and streaming data using DBT. - Designing and implementing data models and schemas to support data warehousing and analytics within Snowflake. - Writing and optimizing SQL queries for efficient data retrieval and analysis. - Delivering robust solutions through query optimization ensuring Data Quality. - Having experience in writing Functions and Stored Procedures. - Demonstrating a strong understanding of the principles of Data Warehouse using Fact Tables, Dimension Tables, star and snowflake schema modeling. - Analyzing & translating functional specifications/user stories into technical specifications. - Having good interpersonal skills, experience in handling communication and interactions between different teams. - Good to have experience in Design/Development in any ETL tool. At YASH Technologies, you will be part of a workplace grounded upon four principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All support needed for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture,

You have a total of 6+ years of IT experience and expertise in Snowflake security, Snowflake SQL, and designing/implementing other Snowflake objects. You have hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight, and Snowflake connectors. Additionally, you have a deep understanding of Star and Snowflake dimensional modeling. You are familiar with Data Management principles and have a good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture. You also possess hands-on experience in SQL and Spark (PySpark) and have experience in building ETL/data warehouse transformation processes. Your communication skills are strong, both verbal and written. You have excellent analytical and problem-solving skills with a high attention to detail. **Key Responsibilities:** - Expertise in Snowflake security, Snowflake SQL, and designing/implementing other Snowflake objects - Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight, and Snowflake connectors - Deep understanding of Star and Snowflake dimensional modeling - Familiarity with Data Management principles - Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture - Hands-on experience in SQL and Spark (PySpark) - Experience in building ETL/data warehouse transformation processes **Qualifications Required:** - Bachelor's and/or masters degree in computer science or equivalent experience - Total 6+ years of IT experience - Strong verbal and written communication skills - Strong analytical and problem-solving skills with a high attention to detail If you possess the following mandatory skills, you will be a great fit for this role: - (Snowflake + ADF + SQL) OR (Snowflake + SQL),

As an experienced Sr. Developer with 8 to 12 years of experience, you will be responsible for contributing to enhancing the data infrastructure, ensuring seamless data flow and accessibility, and supporting the Property & Casualty Insurance domain. Your key responsibilities will include: - Leading the design, development, and implementation of data governance frameworks to ensure data quality and compliance. - Overseeing Metadata Management processes to maintain accurate and consistent metadata across systems. - Providing expertise in Data Catalog and Manage Metadata Service to enhance data discoverability and usability. - Implementing Cloud Data Profiling to assess data quality and identify areas for improvement. - Developing and managing Cross-System Lineage to ensure data traceability and transparency. - Utilizing AWS and Azure platforms to optimize data storage and processing capabilities. - Integrating Snowflake solutions to enhance data warehousing and analytics capabilities. - Designing and implementing ETL processes to ensure efficient data extraction, transformation, and loading. - Utilizing SQL for data querying and manipulation to support business intelligence and reporting needs. - Collaborating with cross-functional teams to align data management strategies with business objectives. - Ensuring data security and privacy compliance in all data management activities. - Providing technical guidance and support to team members to foster a collaborative and innovative work environment. - Contributing to the continuous improvement of data management practices to drive organizational success. Qualifications: - Strong understanding of data governance principles and practices. - Expertise in Metadata Management and related tools. - Experience with Data Catalog and Manage Metadata Service for data management. - Proficiency in Cloud Data Profiling and Cross-System Lineage techniques. - Proficiency in AWS, Azure, and Snowflake platforms for data solutions. - Solid understanding of ETL processes and SQL for data manipulation. - Experience in the Property & Casualty Insurance domain is a plus.,

As a member of the Analytics and Insights Managed Services team, your role will involve leveraging your industry expertise, technology knowledge, and managed services experience to drive sustained outcomes and enhance business performance for our clients. You will play a key role in helping companies transform their analytics and insights approach, optimizing processes for efficiency and client satisfaction. Your deep understanding of IT services, operational excellence, and client-centric solutions will be crucial in delivering success. **Key Responsibilities:** - Serve as the focal point for high-level client interactions, maintaining strong relationships - Manage client escalations and ensure timely resolution of issues - Act as the face of the team for strategic client discussions, governance, and regular cadence - Lead end-to-end delivery of managed data analytics services to clients, ensuring projects meet business requirements, timelines, and quality standards - Deliver minor enhancements and bug fixes aligned with the client's service delivery model - Set up incident management and problem management processes for the engagement - Collaborate with cross-functional teams to deliver end-to-end solutions - Monitor, manage, and report service-level agreements (SLAs) and key performance indicators (KPIs) - Implement and oversee standardized processes, workflows, and best practices for efficient operations - Utilize tools and systems for service monitoring, reporting, and automation to improve service delivery - Drive innovation and automation in data integration, processing, analysis, and reporting workflows - Ensure data security, privacy, and compliance with relevant standards and regulations - Lead and mentor a team of service managers and technical professionals for high performance and continuous development - Foster a culture of collaboration, accountability, and excellence within the team - Collaborate with sales teams to identify opportunities for growth and expansion of services - Experience in solutioning of responses and operating models in responding to RFPs **Qualifications Required:** - Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or a related field (Master's degree preferred) - 15 years of experience with at least 3 years in a managerial or leadership role - Proven experience in managing data analytics services for external clients, preferably within a managed services or consulting environment - Technical skills including proficiency in data analytics tools (e.g., Power BI, Tableau, QlikView), Data Integration tools (ETL, Informatica, Talend, Snowflake, etc.), programming languages (e.g., Python, R, SAS, SQL), cloud platforms (e.g., AWS, Azure, GCP), big data technologies (e.g., Hadoop, Spark), traditional Datawarehousing tools (e.g., Teradata, Netezza), machine learning, AI, and automation in data analytics - Certification in data-related disciplines preferred - Demonstrated ability to lead teams, manage complex projects, and deliver results - Excellent verbal and written communication skills with the ability to present complex information to non-technical stakeholders - Strong financial acumen with experience in budget management - Problem-solving and decision-making skills with the ability to think strategically - Experience with practice development, Agile practices, cloud platforms, and infrastructure management This role provides you with the opportunity to make a significant impact by driving innovation, ensuring client satisfaction, and fostering team development within a dynamic and client-focused environment.,

As an experienced candidate with over 5 years of experience in implementation, data management, or system integration, you should be well-versed in working with Snowflake or similar cloud data warehouse platforms. Your expertise should include architecting or collaborating on ELT technologies like DBT and data architectures. Strong SQL skills and familiarity with data transformation tools are essential for this role. Additionally, your background should cover experience with ETL processes, data validation techniques, and an understanding of HR data structures and relationships. Your analytical and problem-solving abilities should be top-notch, complemented by knowledge of programming languages like Python. Familiarity with data visualization tools, particularly Tableau, is a key requirement. Furthermore, you should have an understanding of API integration patterns and technologies, coupled with experience working with agile development methodologies.,

As a member of the Analytics and Insights Managed Services team, you will play a crucial role in leveraging industry expertise, technology, data management, and managed services experience to drive sustained outcomes for clients and enhance business performance. Your responsibilities will include empowering companies to revamp their analytics and insights approach, optimize processes for efficiency, and enhance client satisfaction. **Key Responsibilities:** - Serve as the focal point for high-level client interactions, maintaining strong relationships. - Manage client escalations and ensure timely resolution of issues. - Act as the face of the team for strategic client discussions, governance, and regular cadence with clients. - Lead end-to-end delivery of managed data analytics services to clients, ensuring projects align with business requirements, timelines, and quality standards. - Deliver minor enhancements and bug fixes in accordance with the client's service delivery model. - Set up incident management and problem management processes for the engagement. - Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to provide comprehensive solutions. - Monitor, manage, and report service-level agreements (SLAs) and key performance indicators (KPIs). - Demonstrate solid financial acumen with experience in budget management. - Implement and oversee standardized processes, workflows, and best practices to ensure operational efficiency. - Utilize tools and systems for service monitoring, reporting, and automation to enhance service delivery. - Drive innovation and automation in data integration, processing, analysis, and reporting workflows. - Stay informed about industry trends, emerging technologies, and regulatory requirements affecting managed services. - Ensure data security, privacy, and compliance with relevant standards and regulations. - Identify and mitigate operational risks that could impact service delivery proactively. - Lead and mentor a team of service managers and technical professionals to ensure high performance and continuous development. - Foster a culture of collaboration, accountability, and excellence within the team. - Ensure the team is well-trained on the latest industry best practices, tools, and methodologies. - Collaborate with sales teams to identify opportunities for service growth and expansion. - Experience in solutioning of responses and operating models, including estimation frameworks, content contribution, and solution architecture in response to RFPs. **Qualifications Required:** - Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or a related field (Master's degree preferred). - Minimum of 15 years of experience with at least 3 years in a managerial or leadership role. - Proven experience in managing data analytics services for external clients, preferably within a managed services or consulting environment. - Proficiency in data analytics tools such as Power BI, Tableau, QlikView, etc. - Experience with data integration tools like ETL, Informatica, Talend, Snowflake, etc. - Familiarity with programming languages such as Python, R, SAS, SQL. - Strong understanding of Data & Analytics services cloud platforms like AWS, Azure, GCP. - Familiarity with traditional Datawarehousing tools like Teradata, Netezza, etc. - Certification in data-related disciplines is preferred. - Demonstrated leadership abilities in leading teams, managing complex projects, and delivering results. - Excellent verbal and written communication skills to effectively present complex information to non-technical stakeholders.,

As an experienced and highly skilled Data Management & Analytics Expert at AceNet Consulting, your role will involve designing, developing, and delivering a running, production-ready data system that meets complex business needs. You will work on scalable, secure, and high-performance data pipelines using Snowflake, develop visually compelling dashboards and reports using Power BI, architect enterprise-grade data warehouses utilizing Data Vault 2.0 modeling techniques, automate data processes with WhereScape RED and 3D, and collaborate with cross-functional teams to align business needs with technical capabilities. Key Responsibilities: - Design and implement scalable, secure, and high-performance data pipelines using Snowflake. - Develop and maintain visually compelling and insightful dashboards and reports using Power BI. - Apply Data Vault 2.0 modeling techniques to architect enterprise-grade data warehouses. - Utilize WhereScape RED and 3D for data automation and data warehouse development. - Work within cross-functional teams to align business needs with technical capabilities. Role Requirements and Qualifications: - 5+ years of hands-on experience with Snowflake and Power BI in complex data environments. - Deep knowledge of Data Vault 2.0 architecture and implementation. - Practical experience with WhereScape RED + 3D tools. - Strong problem-solving skills with a detail-oriented mindset. - Proven ability to deliver robust, scalable, and production-ready data systems. If you join AceNet Consulting, you will have the opportunity to work on transformative projects, cutting-edge technology, and innovative solutions with leading global firms across industry sectors. The company continuously invests in employee growth and professional development, focusing on up & re-skilling. You will receive competitive compensation & benefits, ESOPs, and international assignments. The work environment promotes a healthy work-life balance, employee well-being, and an open culture that values diverse perspectives, encourages transparent communication, and rewards contributions. If you are passionate about technology, have the required qualifications, and thrive in a fast-paced environment, AceNet Consulting welcomes your application. Submit your resume highlighting why you are the ideal candidate for this Data Management & Analytics Expert position.,

You are seeking a highly skilled Senior BI (Snowflake) Data Engineer to join our Bangalore office. This role will focus on data modeling, transformation, governance, and advanced analytics enablement within our enterprise data platform. The ideal candidate will be an expert in Snowflake with deep experience in modern data engineering practices and will play a key role in shaping our data ecosystem to support business intelligence, advanced analytics, and AI-driven insights. **Responsibilities:** - Communicate effectively with executive sponsors, partners, and stakeholders in the company to ensure tight collaboration and knowledge sharing across the teams. - Architect and optimize Snowflake data models to serve BI dashboards, analytics, and semantic layers. - Build reusable & cost-efficient, automated ELT/ETL pipelines for BI consumption. - Collaborate closely with BI developers to ensure Snowflake data structures are business-ready and efficient. - Research and apply new-age analytics tech (Snowflake Cortex, Microsoft Fabric, dbt, Python ML frameworks) to enhance BI outcomes. - Act as the Snowflake SME for BI projects - provide proofs-of-concept, best practices, and governance for BI data structures. - Leverage advanced Snowflake features such as Time Travel, Zero Copy Cloning, Streams, Tasks, Snowpipe, and Snowpark. - Hands-on experience integrating Snowflake with BI tools (e.g., Power BI, Fabric, Sigma, Tableau) and workflow/orchestration platforms (e.g., Airflow, dbt, ADF). **What We're Looking For:** - 7+ years of hands-on data engineering experience, with 3+ years in Snowflake. - Strong command of SQL (advanced window functions, CTEs, optimization strategies). - Change management experience required. - Proven expertise in data modeling (dimensional, relational, and data vault). - Experience with ETL/ELT orchestration tools (dbt, Airflow, ADF, or equivalent). - Proficiency in at least one programming language (Python preferred) for scripting and automation. - Familiarity with BI/Analytics ecosystems (Power BI, Tableau). - Excellent problem-solving skills, communication ability, and stakeholder engagement. - Certification(s) in Snowflake (SnowPro Core / Advanced Architect / Data Engineer). - Exposure to data governance frameworks (lineage, cataloging, metadata management). Accuris delivers essential intelligence that powers decision-making. The company provides the world's leading organizations with the right data, connected technologies, and expertise they need to move ahead. Accuris combines the knowledge and resources of an established company with the boldness of a startup to deliver innovation to the world's most complex problems.,

As a Production Specialist at Wipro Limited, your role is crucial in supporting process delivery by overseeing daily performance, resolving technical escalations, and developing technical capability within the team. - Review daily transactions and performance parameters to ensure smooth process delivery - Support the team in improving performance by providing technical support and process guidance - Record and track all queries received, documenting successful and unsuccessful resolutions - Ensure adherence to standard processes and procedures for resolving client queries within defined SLAs - Develop team members" understanding of processes/products for better client interaction and issue troubleshooting - Analyze call logs to identify trends and prevent future problems - Handle technical escalations through effective diagnosis and troubleshooting of client queries - Manage and resolve technical roadblocks/escalations as per SLA and quality requirements - Escalate unresolved issues timely to the appropriate channels - Provide product support and resolution in a user-friendly, professional manner - Offer alternative solutions to retain customers and clients" business - Mentor and guide Production Specialists to improve technical knowledge - Conduct trainings (Triages) within products to bridge skill gaps - Stay updated with product features, changes, and updates through relevant trainings - Identify common problems and recommend resolutions to the team - Participate in self-learning opportunities to update job knowledge Qualifications Required: - Mandatory Skill: Snowflake - Experience: 5-8 years Wipro Limited is a leading technology services and consulting company dedicated to building innovative solutions for clients" digital transformation needs. With a vast workforce and global presence, we are committed to helping our customers, colleagues, and communities thrive in an ever-changing world. Join us at Wipro to be part of a business powered by purpose and reinvention, where your ambitions can be realized. Applications from people with disabilities are explicitly welcome.,

Role Overview: You are a candidate with at least 10 years of experience in designing and implementing scalable data solutions. Your expertise lies in building end-to-end ETL/ELT pipelines using Databricks (PySpark) and Snowflake. Your responsibilities include building and managing secure, scalable data platforms using PostgreSQL and DynamoDB to meet application needs. Key Responsibilities: - Develop real-time and batch ingestion pipelines from various sources like APIs, logs, files, and databases. - Apply transformation logic to cleanse, enrich, and standardize data for analytics and reporting purposes. - Optimize pipeline performance and storage costs by implementing best practices in partitioning, indexing, and query tuning. - Implement robust data quality checks, access controls, backup strategies, and governance policies. - Lead data strategy efforts and consolidate large-scale existing platforms. - Establish data architecture principles, standards, and patterns to ensure consistent adoption. - Design and supervise data lakes, data warehouses, and data mesh architectures. - Provide guidance to engineering teams on ingestion, transformation, storage strategies, and CI/CD best practices in production environments. Qualifications Required: - Minimum of 10 years of experience in designing and implementing scalable data solutions. - Proficiency in building ETL/ELT pipelines using Databricks (PySpark) and Snowflake. - Strong expertise in PostgreSQL and DynamoDB for creating secure and scalable data platforms. - Experience with optimizing pipeline performance, implementing data quality checks, and establishing governance policies. - Knowledge of data architecture principles and patterns for large-scale platforms. - Familiarity with data lakes, data warehouses, and data mesh architectures. - Ability to guide engineering teams on best practices for data ingestion, transformation, and storage strategies.,

As an experienced candidate with 6-8 years of experience, you will be responsible for the following key responsibilities: - Experience in SQL - Snowflake Creation - Data Warehouse - Exposure to connect to different data sources and readying data layers for business consumption - ETL - Snowflake, with extensive experience in data warehouse architecture, management and Snow pipe - User Defined Function vs Stored Procedure, Multi Clusters DWH, Views vs Secure Views & Materialized views in Snowflake - Tuning and how to improve performance in Snowflake - SQL and database development, with the ability to write complex queries and optimize database performance - Programming skills in Python, including experience with data libraries and frameworks - Ability to use varied techniques in data ingestion like unstructured and structured data with API, ODBC etc - Ability to architect ETL flows for ingestion - Understanding of data modeling principles and best practices - Implement robust, scalable data pipelines and architectures in Snowflake, optimizing data flow and collection for cross functional teams - Complex SQL queries and scripts to support data transformation, aggregation, and analysis - Python for automating data processes, integrating data systems, and building advanced analytics models, data modeling initiatives, ensuring the integrity and efficiency of data structures - Work with cross functional teams to understand data needs, gather requirements, and deliver data-driven solutions that align with business goals - Implement data security and compliance measures, adhering to industry standards and regulations - Conduct data analysis and provide insights to support decision making and strategy development - Stay abreast of emerging technologies and trends in data engineering, recommend, and implement improvements to data systems and processes - Implement projects using Agile methodologies with adequate exposure to JIRA, Slack usage You will require the following qualifications for this role: - Any Degree,

You are applying for the role of Senior Data Engineer at Beige Bananas, a rapidly growing AI consulting firm specializing in creating custom AI products for Fortune 500 Retail, CPG, and Media companies with an outcome-driven mindset to accelerate clients" value realization from their analytics investments. **Role Overview:** As a Senior Data Engineer at Beige Bananas, you will be responsible for data engineering, data modeling, ETL processes, data warehousing, and data analytics. You will work independently to build end-to-end pipelines in AWS or Databricks. **Key Responsibilities:** - Design and implement scalable data architectures - Build and maintain real-time and batch processing pipelines - Optimize data pipeline performance and costs - Ensure data quality, governance, and security - Collaborate with ML teams on feature stores and model pipelines **Qualifications Required:** - Data Engineering and Data Modeling skills - Experience in Extract Transform Load (ETL) processes - Data Warehousing and Data Analytics skills - Proficiency in programming languages like SQL and Python - Experience with cloud services like AWS and Databricks - Strong analytical and problem-solving skills - Bachelor's or Master's degree in Computer Science, Engineering, or related field **Additional Details of the Company:** Beige Bananas is a pure play AI consulting firm that focuses on creating hyper-custom AI products for Fortune 500 Retail, CPG, and Media companies. They have a fast-paced environment with a focus on accelerating clients" value realization from their analytics investments. If you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, apply today and be a part of Beige Bananas" exciting journey!,

As a hiring partner for many IT organizations,We are hiring for below position as direct full time on the payroll as a permanent employee of the Hiring Organization.Please share your updated word format resume with CTC, Location and Notice period at "info@unimorphtech.com" Role : Machine Learning Operations EngineerExperience : 5+ YrsLocation : Chennai ## Key Skills : ML Solutions,MLOPs,Machine Learning model deployment, monitoring & governance,Design and develop machine learning pipelines and frameworks,Azure,Snowflake,Machine learning pipeline,framework,Machiice Learning Engineering,data science,Python,TensorFlow, PyTorch,Data modeling,cloud aechitecture. # Roles and Responsibilities Work with stakeholders to define machine learning solution design (based on cloud services like Azure and Snowflake), that adheres to industry best practices. Design and develop machine learning pipelines and frameworks to support enterprise analytical/reporting needs. Provide guidance and collaborate on model deployment design with data science, ML engineering, and data quality teams. Manage and configure the cloud environments and related ML services. Implement improvements and new tools and approaches aimed at model integration, storage, profiling, processing, management and archival. Recommend improvements and platform development to meet strategic objectives of Global Technology and the MPG business. Utilize Agile practices to manage and deliver features. Must stay current with key technologies and practices so that both current and new needs can be assessed for suitability to business requirements. # Experience : Bachelor's degree in Computer Science, Engineering or Technical Field preferred. Minimum 3-5 years of relevant experience. Proven experience in machine learning engineering and operations. Profound understanding of machine learning concepts, model lifecycle management, and experience in model management capabilities including model definitions, performance management and integration. Execution of model deployment, monitoring, profiling, governance and analysis initiatives. Excellent interpersonal, oral, and written communication; Ability to relate ideas and concepts to others; write reports, business correspondence, project plans and procedure documents. Solid Python, ML frameworks (e.g., TensorFlow, PyTorch), data modeling, and programming skills. Experience and strong understanding of cloud architecture and design (AWS, Azure, GCP). Experience using modern approaches to automating machine learning pipelines. Agile and Waterfall methodologies. Ability to work independently and manage multiple task assignments within a structured implementation methodology. Personally invested in continuous improvement and innovation. Motivated, self-directed individual that works well with minimal supervision. Must have experience working across multiple teams/technologies.

Company name: Tramway Inc(http://www.tranwayinc.com/), Working for Client-Infosys( work location) Role: Hybrid (3 days in a week working from office) Office timings: Normal timings (UK hours)  Role: Contractual, Duration-6 months   Job Description: Should have strong experience in SQL, Snowflake and Tableau. Excellent problem-solving and communication skills. Ability to work independently and in a team-oriented environment. Mandatory skills: Primary Skills - SQL, Snowflake and Tableau. Secondary Skills - SAS Know how If you are interested, Please share your updated resume to prerna@42signs.com/8197 840 980.

Role Overview: As a member of HARMAN Lifestyle, you will lead Data and Analytics, driving the organization's data strategy, governance, engineering, analytics, and integration initiatives. Your role will involve overseeing cross-functional teams to deliver high-impact data solutions, ensure data quality and compliance, and enable business intelligence for strategic decision-making. You will have the opportunity to build and lead a team of 15-20 employees. Key Responsibilities: - Develop and implement enterprise-wide data strategy and governance frameworks. - Oversee SAP Master Data Governance (MDG) to ensure data quality, consistency, and compliance. - Lead ETL processes and data stewardship initiatives. - Drive enterprise-wide data initiatives that impact strategic decision-making, operational efficiency, and digital transformation. - Establish and monitor key performance indicators (KPIs) to measure the effectiveness of data governance, analytics, and integration efforts aligned with organizational goals. - Design, develop, and manage data architecture and engineering teams. - Oversee the implementation and optimization of SAP BW/4HANA and Snowflake platforms for scalable, secure, and reliable data pipelines. - Lead analytics and BI teams to deliver actionable insights using SAP Analytics Cloud and Qlik Sense. - Collaborate with business stakeholders to define KPIs and reporting requirements. - Drive adoption of advanced analytics and data visualization tools. - Oversee data integration across systems using SAP Integration Suite and middleware solutions. - Ensure seamless data flow between enterprise applications and third-party platforms. - Mentor and develop data and analytics talent, fostering a culture of data-driven decision-making. - Collaborate with IT, business units, and external partners to shape data-driven strategies and influence decision-making. - Lead cross-functional collaboration and external vendors to ensure seamless integration of data solutions aligned with enterprise priorities. Qualifications Required: - 20+ years of experience in data management, analytics, or related roles. - Proven leadership experience in managing data teams and projects. - Experienced in Data Platforms like SAP BW/4HANA, Snowflake, Microsoft Fabric, MDG, BI tools like SAP Analytics Cloud, Qlik Sense, ETL Tools, and integration technologies. - Strong understanding of data governance, data engineering, and BI best practices. - Excellent communication, stakeholder management, and problem-solving skills. - Bonus Points: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field. Experience in portfolio management, Automation, AI/ML technologies, SAP BTP, etc. Experience in working in a global environment. Strong interpersonal skills. (Note: Additional details about the company were not provided in the job description),