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Mid-level, popular Data Engineer role in Bangalore with broad skill requirements increases applicant density.
Core data engineering skills are broadly transferable across industries.
Explicit 5+ years requirement plus mandatory AWS and data warehousing skills increases filter strictness.
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Design, build, and maintain scalable data pipelines and ETL/ELT processes ensuring data quality and governance.
Develop and optimize logical and physical data models (star schema, snowflake schema) to support analytics and BI teams.
Collaborate with cross-functional teams to translate business requirements into robust data solutions and optimize data storage for performance and scalability.
5+ years of experience in data engineering and data modeling.
Proficiency in SQL and database design; experience with relational and/or NoSQL databases.
Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift.
Experience with AWS and ETL tools/frameworks like Apache Airflow, Informatica, or dbt.
Strong expertise in dimensional data modeling and building data architectures supporting large-scale distributed environments.
Experience working in hybrid work mode with collaborative teams including analytics, product, and engineering.
Technical proficiency in cloud environments (AWS), data warehousing, ETL orchestration, and familiarity with big data technologies is a plus.