68 Big Data Developer Jobs nearby Vapi

Role Overview: As a Data Scientist at Kraft Heinz, you will be a key contributor to the agile, cross-functional team, developing and implementing data-driven solutions to drive business outcomes. You will collaborate with stakeholders on advanced analytics and data science modelling projects, from inception to production, to deliver high-impact results. Key Responsibilities: - Develop, test, and deploy predictive models using machine learning and statistical techniques - Collaborate with stakeholders to identify opportunities and design solutions - Explore and analyze large datasets to inform business decisions - Engineer new features and test various modeling approaches to develop industry-leading analytics products - Contribute to the development of data science capabilities and best practices Qualifications Required: - Bachelors degree in Data Science, Computer Science, Engineering, or Statistics - 3+ years of applied experience in data science or related field - Expertise in Python and/or R, and willingness to learn other languages - Fluency in SQL - Strong understanding of machine learning, data wrangling, and exploratory analysis - Ability to work collaboratively with stakeholders to deliver high-impact results - Excellent communication and problem-solving skills Additional Company Details: Kraft Heinz is a global leader in the food and beverage industry, committed to enhancing the lives of consumers with delicious products. The company is focused on building a new legacy by investing in a robust digital infrastructure and leveraging advanced analytics for informed decision-making. Note: Preferred qualifications, such as experience with Big Data technologies, cloud-based technologies, Agile development methodologies, and various modeling methods, are a plus for this role.,

As a Lead Data Engineer at our company, your role is crucial in advancing data engineering practices on the Google Cloud Platform (GCP) while working with cutting-edge technologies like Generative AI. Key Responsibilities: - Lead the design, implementation, and optimization of scalable data pipelines and architectures on GCP using services like Big Query, Dataflow, Pub/Sub, and Cloud Storage. - Collaborate with cross-functional teams to define data requirements and develop strategic solutions addressing business needs. - Enhance existing data infrastructure for high performance, reliability, and security. - Drive integration and deployment of machine learning models and analytics solutions, including Generative AI. - Establish and enforce best practices in data governance, quality, and security. - Mentor and guide junior engineers to foster innovation and continuous improvement. - Stay updated on data engineering trends, GCP advancements, and Generative AI technologies for team innovation. Required Skills & Qualifications: - Bachelor's or master's degree in computer science, Information Technology, or related field. - 7+ to 10 years of data engineering experience, with a focus on GCP technologies. - Expertise in building data solutions using GCP services like Big Query, Dataflow, and Cloud Composer. - Proficiency in SQL and programming languages such as Python, Java, or Scala. - Strong understanding of data modeling, warehousing, and real-time data processing. - Familiarity with Docker, Kubernetes, and containerization. - Excellent analytical, problem-solving, and communication skills. - Leadership experience with a track record of mentoring and developing junior team members. Preferred Qualifications: - GCP Professional Data Engineer certification. - Experience with Generative AI technologies and practical applications. - Knowledge of other cloud platforms like AWS or Azure. - Experience in implementing data governance frameworks and tools. In addition, the company offers perks such as flexible timings, 5 days working week, a healthy work environment, celebrations, opportunities for learning and growth, building a community, and medical insurance benefits.,

As a PHP Laravel Developer, you will be responsible for managing back-end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a good understanding of front-end technologies is necessary as well. Responsibilities: - Integration of DNBs solution (DesignO) with different platform/technologies i.e. WordPress, Shopify, OpenCart, BigCommerce, .Net, etc - Integration of user-facing elements developed by front-end developers. - Build efficient, testable, and reusable PHP modules. - Solve complex performance problems and architectural challenges. - Integration of data storage solutions - WordPress, Shopify, Laravel, Open Cart, Big Commerce, etc - Mentor, motivate, and support other team members having similar work experience in platform/technology. - Understand clients business requirement and transform in technical needs. Skills And Qualifications: - Strong knowledge of PHP web frameworks, such as Laravel (Must), WordPress (optional), Shopify (optional), OpenCart (optional), BigCommerce (optional). - Understanding the fully synchronous behavior of PHP. - Understanding of MVC design patterns. - Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. - Knowledge of object-oriented PHP programming. - Understanding accessibility and security compliance {{Depending on the specific project}} - Strong knowledge of the common PHP or web server exploits and their solutions. - Understanding fundamental design principles behind a scalable application. - User authentication and authorization between multiple systems, servers, and environments. - Integration of multiple data sources and databases into one system. - Familiarity with limitations of PHP as a platform and its workarounds. - Creating database schemas that represent and support business processes. - Familiarity with SQL/NoSQL databases and their declarative query languages. - Proficient understanding of code versioning tools, such as Git. - Good communication skills - written and verbal. - Experience of Team handling/leading will be an additional advantage. Educational Qualification: - MCA, BE (CS), BCA, B.Sc. (CS),

As a ReactJS Lead Engineer at our company, your primary responsibility will be to lead the design and development of Enterprise Software for our Global Fortune 500 clients in Data Center and Big Data segments. You will be based in either Pune or Ahmedabad, with the requirement of working from office. Key Responsibilities: - Provide expertise in the software development life cycle, from concept to architecture, design, implementation, and testing. - Lead and mentor mid-sized teams effectively. - Ensure adherence to code reviews and development best practices and processes. - Engage in regular client communication. - Estimate efforts, identify risks, and offer technical support when needed. - Manage people effectively through performance reviews, feedback, and task management. - Demonstrate the ability to multitask and re-prioritize responsibilities based on dynamic requirements. Key Skills: - Possess at least 3 years of experience in software architecture, system design, and development. - Proficient in React.js and Typescript. - Good experience in advanced JavaScript technologies such as Angular, Vue, Knockout, Node, Ember, Backbone, Express is preferred. - Strong foundation in Object-Oriented Design and Data Structures. - Experience in direct customer interaction including requirement gathering, technical discussions, demos, and project delivery. - Skilled in developing RESTful Web services using any framework. - Familiarity with Agile Software development methodology. - Knowledge of Linux programming or expertise in Big Data and/or Data Analytics is a plus. - Previous experience in leading or mentoring a team is desirable. - Excellent oral, written, problem-solving, and analytical skills are necessary. - Ability to thrive with minimal resources and supervision. - Education: B.E, B.Tech, MCA, Diploma in Computer/IT.,

As a highly skilled Lead Data Quality Engineer, you will play a crucial role in driving data accuracy, consistency, and integrity within our data ecosystem. Your responsibilities will include designing and implementing data quality frameworks, ensuring compliance with best practices, and collaborating with cross-functional teams to maintain high data standards. Key Responsibilities: - Develop and implement data quality frameworks, policies, and best practices to enhance data governance and integrity. - Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues. - Implement automated and manual data validation techniques to ensure completeness, consistency, and accuracy. - Ensure adherence to data governance principles, regulatory requirements, and industry standards. - Work closely with data engineering teams to maintain and enhance data pipelines with embedded quality checks. - Develop automated data quality tests, monitoring dashboards, and alerts using SQL, Python, or other data tools. - Partner with data engineers, analysts, and business teams to establish quality metrics and ensure alignment on data quality objectives. - Track and report data quality KPIs, create dashboards, and provide insights to leadership. Required Skills & Qualifications: - 7+ years of experience in data quality, data governance, or data engineering roles, with at least 2 years in a leadership capacity. - Strong expertise in SQL for data querying, validation, and analysis. - Experience with ETL processes, data pipelines, and data integration tools (Airflow, Talend, Informatica, DBT, etc.). - Proficiency in Python, PySpark, or other scripting languages for data automation. - Hands-on experience with Data Quality and Governance tools (Collibra, Alation, Talend DQ, Great Expectations, etc.). - Knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures. - Familiarity with Big Data technologies (Spark, Snowflake, Databricks, etc.). - Strong problem-solving and analytical skills. - Excellent communication and stakeholder management abilities. - Ability to lead and mentor a team of data engineers or analysts. - Detail-oriented with a proactive approach to data quality management. Preferred Skills: - Experience in regulated industries (finance, healthcare, etc.) with data compliance knowledge (GDPR, HIPAA, etc.). - Exposure to machine learning data quality frameworks is a plus. - Data certification (e.g., CDMP, Collibra Ranger, or similar) is a plus. In addition to the above, the company offers: - Flexible Timings - 5 Days Working - Healthy Environment - Celebration - Opportunities to Learn and Grow - Building a Community - Medical Insurance Benefits,

As a member of the data science team, you will have the opportunity to work on cutting-edge analytics technologies, develop predictive models, and contribute to data-driven decision making. The role focuses on end-to-end data science workflows, advanced statistical analysis, and real-world AI applications in business contexts. Key Responsibilities: - Conduct comprehensive data collection, cleaning, preprocessing, and exploratory data analysis using Python, R, and SQL frameworks. - Develop and implement machine learning models for classification, regression, clustering, and time-series forecasting applications. - Create advanced data visualizations and interactive dashboards using Tableau, Power BI, matplotlib, and seaborn libraries. - Perform statistical analysis, hypothesis testing, and A/B testing to derive actionable business insights. - Build and deploy predictive analytics models to support business strategy and operational optimization. - Collaborate with cross-functional teams to translate business requirements into analytical solutions and recommendations. - Document analytical processes, create technical reports, and present findings to stakeholders through compelling data storytelling. Qualifications Required: Must-Haves: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field (final year students or recent graduates). - Strong programming proficiency in Python with experience in NumPy, Pandas, Scikit-learn, and Jupyter Notebooks. - Solid understanding of statistical concepts including descriptive statistics, probability distributions, and inferential statistics. - Knowledge of SQL for database querying and data manipulation from various data sources. - Experience with data visualization tools and techniques for creating meaningful insights from complex datasets. Nice-to-Haves: - Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or advanced scikit-learn applications. - Familiarity with cloud platforms (AWS, GCP, Azure) for data processing, model deployment, and distributed computing. - Knowledge of big data technologies including Spark, Hadoop, or NoSQL databases for large-scale data processing. - Experience with advanced analytics techniques including deep learning, NLP, or computer vision applications. - Previous internship experience or portfolio projects demonstrating real-world data science problem-solving capabilities.,

As a Data Analyst at our company, you will utilize your passion for big data and analytics to deliver valuable insights to the business across various areas. Your role will involve conducting regular and ad hoc analyses to support business users. Responsibilities: - Gain a deep understanding of the daily challenges encountered by our business, which can be addressed through data analysis - Gather and assess data pertaining to the issues faced by the business - Create clear and informative visualizations to present complex data in an easily understandable manner Qualifications: - Bachelor's or Master's degree in Statistics or Applied Mathematics or relevant field - 1-2 years of experience in Data Analysis - Proficiency in SQL Please note that no additional details about the company were provided in the job description.,

Role Overview: You will be joining the team at Growexx as an EMS Data Analyst (Manual Support). Your main responsibility will be to ensure the accurate and timely import of EMS data into the NEMSIS database. This will involve working with EMS data from various sources, including electronic Patient Care Reports (ePCRs) and other EMS data systems. Your focus will be on maintaining data quality, troubleshooting issues, and performing manual data entry or manipulation as necessary to ensure data integrity and compliance with NEMSIS standards. Key Responsibilities: - Monitor data submissions from EMS agencies and identify any issues with data quality or formatting - Manually review ePCR data to ensure compliance with NEMSIS data standards and identify errors - Perform data entry and data manipulation tasks as needed to correct errors or format data for import - Work with EMS agencies to resolve data quality issues and improve data collection practices - Document all data entry and quality assurance activities - Implement and maintain data quality checks and validation processes - Identify trends and patterns related to data errors or inconsistencies - Assist in developing and implementing data quality improvement plans - Assist in data analysis and generating reports to support quality improvement initiatives and operational decisions - Help develop and maintain data dashboards and visualizations - Respond to data requests from internal and external stakeholders - Maintain a strong understanding of the NEMSIS data standard and ensure ongoing compliance - Stay updated on NEMSIS changes, updates, and best practices - Assist with training EMS staff on data collection and NEMSIS requirements - Work closely with EMS agencies, data managers, and other stakeholders to ensure seamless data flow and data quality - Communicate data-related issues and findings effectively to both technical and non-technical audiences Qualification Required: - Certification In Healthcare Data Analytics Or Related Field - 3+ years' experience With Data Visualization Tools (E.g., Tableau, PowerBI) - Experience In Database Management Additional Details: You will need to have strong analytical and problem-solving skills, attention to detail, and a commitment to data accuracy. Proficiency in data manipulation and analysis tools such as Excel and SQL is essential. Excellent communication and interpersonal skills are also required, along with the ability to work both independently and as part of a team. Knowledge of EMS operations, patient care, and medical terminology would be a plus. Additionally, you should possess good logical reasoning and analytical skills, the ability to break big goals into small incremental actions, excellent communication and collaboration skills, ownership and accountability of work, attention to details, self-criticism, and a positive and cheerful outlook in life. Role Overview: You will be joining the team at Growexx as an EMS Data Analyst (Manual Support). Your main responsibility will be to ensure the accurate and timely import of EMS data into the NEMSIS database. This will involve working with EMS data from various sources, including electronic Patient Care Reports (ePCRs) and other EMS data systems. Your focus will be on maintaining data quality, troubleshooting issues, and performing manual data entry or manipulation as necessary to ensure data integrity and compliance with NEMSIS standards. Key Responsibilities: - Monitor data submissions from EMS agencies and identify any issues with data quality or formatting - Manually review ePCR data to ensure compliance with NEMSIS data standards and identify errors - Perform data entry and data manipulation tasks as needed to correct errors or format data for import - Work with EMS agencies to resolve data quality issues and improve data collection practices - Document all data entry and quality assurance activities - Implement and maintain data quality checks and validation processes - Identify trends and patterns related to data errors or inconsistencies - Assist in developing and implementing data quality improvement plans - Assist in data analysis and generating reports to support quality improvement initiatives and operational decisions - Help develop and maintain data dashboards and visualizations - Respond to data requests from internal and external stakeholders - Maintain a strong understanding of the NEMSIS data standard and ensure ongoing compliance - Stay updated on NEMSIS changes, updates, and best practices - Assist with training EMS staff on data collection and NEMSIS requirements - Work closely with EMS agencies, data managers, and other stakeholders to ensure seamless data flow and data quality - Communicate data-related issues and findings effectively to both technical and non-technical audiences Qualification Required: - Certification In Healthcare Data Analytics Or Related Field - 3+ years' experience With Data Visualization Tools (E.g., Tableau,

Role Overview: As a Junior React Native Developer at Technorex Infoways, you will be a part of a big family of professionals who inspire and get inspired. The goal is to connect you with supportive resources to supplement your skills and help you attain your dream career. Your enthusiasm and experience will be valued as we work together on better ideas and concepts to bring out the final outcome with a spark. At Technorex Infoways, professionalism is defined by the quality of work you deliver rather than your dress code. Join us to redefine the art of communication and grow together! Key Responsibilities: - Knowledge of Core JavaScript Concepts - Expertise in working with Android and iOS SDK - Experience working with remote data via REST and JSON - Integration of third-party libraries and APIs - Experience with SQLite & MySQL database Qualification Required: - B.Tech / BCA / BE / BscIT / Any Graduation If you consider yourself resourceful, ingenious, and bitten by the imagination bug, we invite you to come and grow with us! Send your CV to hr@technorexinfoways.com.,

As a Lead Data Warehouse Engineer, your role involves architecting, managing, and evolving the enterprise data warehouse to support business intelligence and analytics. Here are the key responsibilities you will handle: - Design and set up the data warehouse from scratch with a focus on scalability, reliability, and alignment with business goals. - Lead the design of dimensional models and enforce data governance standards for maintaining a single version of truth. - Oversee the development and optimization of ETL pipelines using SSIS, Python, and cloud-native tools for efficient data ingestion from various systems. - Monitor and optimize database performance, indexing strategies, and query execution plans to ensure optimal system responsiveness. - Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and deliver actionable insights. - Mentor junior engineers, conduct code reviews, and manage project timelines and deliverables within the data engineering team. - Maintain comprehensive documentation for data flows, integration logic, and system configurations while ensuring compliance with internal and external data standards. Qualifications Required: Must have - Bachelors or Masters degree in computer science, Information Technology, or a related field. - 12+ years of experience with Microsoft SQL Server. - Expertise in building Data Warehouse using SQL Server. - Hands-on experience Dimensional Modeling using Facts and Dimensions. - Experience with cloud-based SQL databases like Azure SQL or Azure Synapse. - Expertise in SSIS and Python for ETL development. - Familiarity with Azure Data Factory. - Strong experience in Power BI for reporting and data visualization. - Strong understanding of relational database design, indexing, and performance tuning. - Ability to write complex SQL scripts, stored procedures and views. - Experience with Git and JIRA. - Problem-solving mindset and analytical skills. - Excellent communication and documentation abilities. Nice to Have - Experience with Microsoft Fabric. - Experience with Azure Databricks. - Familiarity with CI/CD for database deployments and automation tools. - Knowledge of big data technologies like Snowflake.,

Role Overview: As a Senior Database Developer at Pardy Panda Studios, you will be responsible for designing, implementing, and maintaining scalable and efficient database systems. Your daily tasks will include developing database schemas, optimizing database performance, implementing security measures, and collaborating with cross-functional teams to support application development. You will play a crucial role in ensuring the reliability and performance of the company's backend systems. Key Responsibilities: - Design, implement, and maintain scalable and efficient database systems - Develop database schemas and optimize database performance - Implement security measures to protect the database - Collaborate with cross-functional teams to support application development - Ensure the reliability and performance of the company's backend systems Qualifications: - Proficiency in database design, management, and optimization for systems using technologies like MySQL, PostgreSQL, or MongoDB - Experience with writing and optimizing complex SQL queries and stored procedures - Familiarity with database security protocols, backup solutions, and performance tuning techniques - Knowledge of backend technologies such as PHP or Node.js, and their integration with databases - Strong analytical and problem-solving skills with attention to detail - Excellent teamwork and communication skills to collaborate effectively with developers and stakeholders - Bachelor's degree in Computer Science, Information Technology, or a related field is required - Experience with cloud-based database systems and knowledge of big data structures is a plus,

You are looking for software engineers to join your engineering team in Ahmedabad to design and develop Enterprise Software for Global Fortune 500 clients in Data Analytics, Security, and Cloud segments. Your expertise in Core & Advanced Python with experience in developing REST API using any framework will be utilized effectively. - Achieve organization goals by defining, integrating, and upgrading a comprehensive architecture to support Java applications. - Provide expertise in software development life cycle, from concept, architecture, design, implementation, & testing. - Lead & mentor a small-sized team. - Ensure code reviews & development best practices / processes are followed. - Be part of regular client communication. - Estimate efforts, identify risks & provide technical support whenever needed. - Ensure effective people management (performance reviews & feedback at a minimal level) & task management for smooth execution. - Demonstrate ability to multitask & re-prioritize responsibilities based on dynamic requirements. Requirements: - 2+ years of experience in software architecture, system design, and development - Extensive software development experience in Python - Experience in developing RESTful Web services using any framework - Strong Computer Science fundamentals in Object-Oriented Design and Data Structures - Experience with Linux programming, or expertise in the areas of Big Data, Networking, Storage, or Virtualization is a big plus - Experience with working on Agile Software development methodology - Excellent oral and written communication skills, problem-solving, and analytical skills - Must be able to succeed with minimal resources and supervision - Minimum qualification of BE in Computer Science or equivalent,

You are sought by Growexx to join as an EMS Data Analyst (Manual Support) to ensure accurate and timely import of EMS data into the NEMSIS database. Your role involves working with EMS data from various sources, including electronic Patient Care Reports (ePCRs) and other EMS data systems. You will focus on maintaining data quality, troubleshooting issues, and performing manual data entry or manipulation as necessary to ensure data integrity and compliance with NEMSIS standards. - Monitor data submissions from EMS agencies and identify any issues with data quality or formatting - Manually review ePCR data to ensure compliance with NEMSIS data standards and identify errors - Perform data entry and data manipulation tasks as needed to correct errors or format data for import - Work with EMS agencies to resolve data quality issues and improve data collection practices - Document all data entry and quality assurance activities - Implement and maintain data quality checks and validation processes - Identify trends and patterns related to data errors or inconsistencies - Assist in developing and implementing data quality improvement plans - Assist in data analysis and generating reports to support quality improvement initiatives and operational decisions - Help develop and maintain data dashboards and visualizations - Respond to data requests from internal and external stakeholders - Stay updated on NEMSIS changes, updates, and best practices - Assist with training EMS staff on data collection and NEMSIS requirements - Work closely with EMS agencies, data managers, and other stakeholders to ensure seamless data flow and data quality - Communicate data-related issues and findings effectively to both technical and non-technical audiences Key Skills: - Strong analytical and problem-solving skills - Attention to detail and commitment to data accuracy - Proficiency in data manipulation and analysis tools (e.g., Excel, SQL) - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Knowledge of EMS operations, patient care, and medical terminology is a plus Qualification and Experience: - Certification in Healthcare Data Analytics or related field - 3+ years" experience with data visualization tools (e.g., Tableau, PowerBI) - Experience in database management The company values the following analytical and personal skills in its employees: - Good logical reasoning and analytical skills - Ability to break big goals into small incremental actions - Excellent communication and collaboration skills - Demonstration of ownership and accountability in work - Great attention to details - Self-criticism - Positive and cheerful outlook in life,

As a Digital Marketing Specialist at Braincuber Technologies, your role will be crucial in comparing your company's advertising techniques and offerings with those of competing businesses. You will be responsible for maintaining a profitable message for the company and assisting in research to ensure that the offerings are priced competitively to provide value to potential clients while ensuring the business thrives. Your focus will be on monitoring data that reflects changing trends in advertising consumption, ensuring that potential clients and consumers see the company's ad projects and make purchases. **Qualified Skills:** - Bachelor's or master's degree in computer science, information technology, or a related field - Prior experience in planning, designing, developing, architecting, and deploying cloud applications on AWS platforms - Knowledge of fundamental AWS services, applications, and best practices for AWS architecture - Expertise in disciplines such as database architecture, business intelligence, machine learning, advanced analytics, big data, etc. - Significant experience in Linux/Unix administration - Familiarity with Docker and Kubernetes - Experience collaborating with cross-functional teams - Ability to identify and resolve problems in distributed systems efficiently - Self-starter, team player, and problem solver - Previous experience in large-scale system design - Understanding of web services like API, REST, and RPC - AWS credentials and other relevant professional certifications **Roles And Responsibilities:** - Evaluate the organization's current application infrastructure and provide suggestions for enhancements - Define and document best practices for application deployment and infrastructure maintenance - Collaborate with the IT team on migrating web apps to AWS - Develop cost-effective migration strategies - Create reusable, effective, and scalable programs - Conduct software analysis, testing, debugging, and updating for compatibility with web browsers - Build serverless applications using multiple AWS services - Identify technical faults in programs and propose solutions If you are familiar with Agile methodologies, we would like to meet you.,

As a Lead Data Warehouse Engineer, your role is to architect, manage, and evolve the enterprise data warehouse. You will lead the data engineering team, drive best practices in data modeling and ETL development, and ensure high-performance data solutions supporting business intelligence and analytics. **Key Responsibilities:** - Design and set up the data warehouse from scratch ensuring scalability, reliability, and alignment with business goals. - Lead the design of dimensional models (facts and dimensions) and enforce data governance standards. - Oversee the development and optimization of ETL pipelines using SSIS, Python, and cloud-native tools. - Monitor and tune database performance, indexing strategies, and query execution plans. - Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and deliver actionable insights. - Mentor junior engineers, conduct code reviews, and manage project timelines and deliverables. - Maintain comprehensive documentation for data flows, integration logic, and system configurations. Ensure compliance with data standards. **Required Skills & Qualifications:** **Must have** - Bachelors or Masters degree in computer science, Information Technology, or a related field. - 12+ years of experience with Microsoft SQL Server. - Expertise in building Data Warehouse using SQL Server. - Hands-on experience with Dimensional Modeling using Facts and Dimensions. - Experience with cloud-based SQL databases like Azure SQL or Azure Synapse. - Expertise in SSIS and Python for ETL development. - Familiarity with Azure Data Factory. - Strong experience in Power BI for reporting and data visualization. - Strong understanding of relational database design, indexing, and performance tuning. - Ability to write complex SQL scripts, stored procedures, and views. - Experience with Git and JIRA. - Problem-solving mindset and analytical skills. - Excellent communication and documentation abilities. **Nice to Have** - Experience with Microsoft Fabric. - Experience with Azure Databricks. - Familiarity with CI/CD for database deployments and automation tools. - Knowledge of big data technologies like Snowflake.,

Role Overview: You will be joining our team in Jamnagar as a mid-level Data Analyst. Your main responsibility will be to analyze data sets, interpret trends, and provide actionable insights to drive business decisions. You will utilize statistical tools and programming languages to perform these tasks effectively. The ideal candidate for this position will have proficiency in statistical analysis, Python programming, and data visualization. Key Responsibilities: - Analyze large data sets using statistical techniques - Identify trends, patterns, and anomalies within data to provide actionable insights - Develop, implement, and maintain automated reporting processes - Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions - Create and maintain documentation for data analysis processes and methodologies - Assist in the design and implementation of data models and data mining techniques - Communicate complex data findings to non-technical stakeholders in an understandable way - Support continuous improvement initiatives by providing data-based recommendations for processes and operations Qualifications Required: - Proficiency in statistical analysis - Strong knowledge of Python programming for data analysis purposes - Experience with data visualization tools such as Tableau or Power BI - Experience in machine learning and its applications in data analysis - Ability to develop predictive models to forecast business metrics - Experience working with big data technologies and platforms - Proficiency in SQL for data querying and manipulation - Experience in data mining and transforming raw data into useful business insights,

As an Academic Associate - PGDM Big Data Analytics at Adani Institute of Digital Technology Management (AIDTM), you will play a crucial role in conducting practical sessions, education, research, and analytical tasks for the PGDM Big Data Analytics and PGDM AI & DS programs. Your responsibilities will include: - Conducting day-to-day practical sessions related to Big Data Analytics - Engaging in educational activities to enhance student learning - Performing research tasks to contribute to the academic environment - Utilizing strong Excel, Python & Power-BI skills effectively - Demonstrating excellent communication and teaching abilities - Applying analytical skills to enhance data analysis processes - Collaborating effectively in an academic setting to achieve common goals Qualifications required for this role include: - Proficiency in Excel, Python & Power-BI - Strong communication and teaching skills - Previous experience in the field of education - Demonstrated analytical capabilities - Ability to work collaboratively in an academic environment,

As a Java developer at the company, your responsibilities will include: - Working with client developers & off-shore developers to deliver project tasks - Analyzing system domain and client requirements - Collaborating with the team to create and maintain a robust system supporting business with a focus on usability - Ensuring productivity and teamwork within the constraints of a planned project to complete necessary milestones - Solving challenging real-world problems using OOP & functional programming concepts - Writing production-grade backend code, SP, and upholding high code quality standards You must have the following qualifications: - Very strong knowledge in OOP and Core Java - Inherent nature of working with ownership - Hands-on Software Development experience in JavaEE and Springboot - Experience in Spring, Spring Security, Hibernate, JPA, Restful services - Familiarity with web technologies such as jQuery, Angular, React, Validation Engine, JSON, GSON, Ajax, CSS, HTML5 - Excellent debugging and problem-solving skills - Familiarity with Oracle, Postgres, MySQL, MSSQL Server databases - Good understanding of Microservices Architecture & Design Principals - Experience working with build tools like Maven or Gradle - Proficient understanding of application security fundamentals, application performance tuning, and scalability - Proficient with code versioning tools such as Git, SVN, TFS, etc. - Strong problem-solving skills - Excellent written and verbal communication skills It would be advantageous if you have: - Knowledge & command over big data technologies like Apache Hadoop, Apache Spark, AWS EMR - Good command of front-end JS frameworks like ReactJS, Angular - Knowledge of search engines like Apache Solr, Elasticsearch, AWS Opensearch - Familiarity with cloud platforms If you meet the qualifications and are interested in this position, please send your resume to hr@prominentpixel.com.,

You will be joining our engineering team in Ahmedabad to design and develop Enterprise Software for our Global Fortune 500 clients in Data Analytics, Security, and Cloud segments. Your expertise in Core & Advanced Python with experience in developing REST API using any framework will be crucial for this role. **Key Responsibilities:** - Define, integrate, and upgrade a comprehensive architecture to support Java applications to achieve organization goals. - Provide expertise in the software development life cycle, from concept, architecture, design, implementation, & testing. - Lead & mentor a small-sized team, ensuring code reviews & development best practices / processes are followed. - Engage in regular client communication, estimate efforts, identify risks & provide technical support whenever needed. - Manage people and tasks effectively for smooth execution, demonstrating the ability to multitask & re-prioritize responsibilities based on dynamic requirements. **Qualifications Required:** - 2+ years of experience in software architecture, system design, and development. - Extensive software development experience in Python and developing RESTful Web services using any framework. - Strong Computer Science fundamentals in Object-Oriented Design and Data Structures. - Experience with Linux programming, or expertise in the areas of Big Data, Networking, Storage, or Virtualization is a big plus. - Familiarity with Agile Software development methodology. - Excellent oral and written communication skills, problem-solving, and analytical skills. - Must be able to succeed with minimal resources and supervision. - Minimum qualification of BE in Computer Science or equivalent.,

As a Business Analyst (Data Steward) at infoAnalytica Consulting, you will play a crucial role in managing data as a corporate asset and contributing to the data services business unit that serves global customers. Your responsibilities will include: - Managing data as a corporate asset by identifying and understanding the use of new, existing, and legacy data assets to increase efficiency and re-use of data. - Taking charge of all company and customer data assets, especially those developed for data services projects. - Developing and executing data strategy, data warehousing, database management, data governance, and policy development to maintain data quality and create value for customers. - Overseeing strategic data priorities for various projects, guiding teams on data storage, analysis, and exploitation, and identifying new and accurate data sources. - Acting as a thought leader in defining data acquisition strategies and roadmaps, leveraging existing data assets, and acquiring new data assets from multiple sources. - Collaborating with tech teams to create an accessible data environment and work with internal and external stakeholders to address data needs. Key Requirements: - Exceptional communication skills and the ability to understand and communicate customer requirements effectively. - At least 3 years of experience in a data-heavy role or the demand generation space, with hands-on experience in executing data projects. - Good technology insight and awareness to proactively identify and leverage the right technology for data processes. - Interpersonal skills such as being result-driven, creative, analytical, and comfortable working with top leadership and executives. In this role, you will be a critical part of infoAnalytica's data organization, focusing on making it smarter and results-driven as a data steward.,