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Tier-1 brand, common data-engineer role, metro Bangalore, and broad skillset increase competition.
Transferable data engineering skills, but Snowflake/Databricks and banking emphasis increase domain specificity.
Moderate technical requirements (Snowflake/Databricks/Azure) but no explicit years, so medium strictness.
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Develop, implement, and optimize data ingestion, storage, and retrieval processes including ETL pipelines for data lakes and warehouses.
Collaborate with data scientists and analysts to deliver datasets meeting data requirements while ensuring data quality and pipeline integrity.
Evaluate and adopt new data technologies and tools to continuously improve data engineering processes.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Certifications such as Databricks Certified Associate Developer for Apache Spark, Microsoft Certified: Azure Data Engineer Associate, or equivalent preferred.
Experience with data engineering, cloud computing, Snowflake platform, and Agile methodology.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced working in hybrid work environments with flexibility in work hours based in India.
Comfortable collaborating cross-functionally with data science and analytics teams to deliver data solutions.
Strong knowledge of data engineering tools and processes, including ETL, data ingestion, and pipeline troubleshooting in enterprise settings.