3,191 master data analyst jobs in India.

... parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications - At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required). - Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, ...

... and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.- Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.- Automating data pipelines and workflows to streamline data ingestion, processing, ...

... standards.- Develop and review Python-based data engineering solutions, frameworks, and reusable components.- Design and optimize ETL/ELT pipelines for large-scale data processing.- Work with structured and unstructured data across data lakes, data warehouses, and modern data platforms.- Define strategies for data ingestion, ...

... Advanced Python Programming, Databricks , Azure SQL , Data factory (ADF), Data Lake, Data storage, SSIS. Create and deploy scalable ETL/ELT pipelines with Azure Databricks by utilizing PySpark and SQL . Experience in Unity Catalog for centralized data governance, access control, and data lineage tracking. Develop unit tests ...

... experience in Data Engineering. Data Engineer We are looking for a DevOps Engineer to join our team. The ideal candidate brings 4+ years of hands-on experience in Data Engineering. 4+ years of hands-on experience in Data Engineering. Strong SQL and database concepts. Proficiency in Python. Experience with ETL/ELT tools and data ...

... (Exposure preferred). Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using ...

... candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation ...

... and cost-efficiency within the Snowflake environment.- Automate and orchestrate data pipeline scheduling and monitoring using Apache Airflow to maintain high data availability and reliability.- Collaborate with data architects and business analysts to refine data models and ensure alignment with organizational reporting ...

... Infrastructure-as-Code, Test automation, Monitoring and observability, Production support processes, Root cause analysis and Performance optimization BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline. Experience supporting global onshore/offshore delivery models. ...

... AWS Bedrock or Google Vertex. requirements and translate them into data science solutions. Bachelors from Tier 1 premier institute in relevant field, or; ● Master's or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience: - 3–6 years of hands-on experience in machine learning or data science ...

... around the world. Job Summary: Electrical Engineer with experience on FEED, proposal & detailed engineering preferably in an EPC industry for Manufacturing units, Data centers and Buildings/utility projects. Candidate should have exposure to Indian, US, Euro and other foreign codes/standards and local practices. Major Responsibilities: ...

... ML, Google AI Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Minimum 8 years of experience in data science, analytics, or AI development. Strong understanding of machine learning algorithms, data pipelines, and MLOps. Excellent communication and storytelling ...

As a Principal Data Engineer, you will be at the forefront of Oracle's data initiatives, playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders, you will design scalable data pipelines, optimize data infrastructure, and ensure the availability ...

... data narratives, written documents, and presentations that influence product and business strategy. - Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and sharing technical work in internal and external forums. Deep dive into smart home interaction metrics - analyzing ...

... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

... technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, ...

... issues related to data pipelines and platforms. Follow DevOps and DataOps best practices including CI/CD, automation, testing, and monitoring. Contribute to data architecture discussions and support the evolution of L'Oréal's global data strategy. Bachelor's or Master's degree in Computer Science, Information Technology, ...

... and Validation, Analytical Data Warehousing https://jobeax.com/link/By53NvnMxWuAhayP & Education :- 6+ years of relevant experience in analytics engineering, data engineering, business intelligence, data warehousing, enterprise data modelling, or a closely related field.- Bachelor's or Master's degree in Computer Science, ...