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Mid-level data engineer in Bangalore with popular skills and broad requirements drives high competition.
Core data engineering skills like SQL, Python, ETL, and cloud warehouses are highly transferable across industries.
Explicit 5+ years plus mandatory cloud warehouse, dbt, SQL, programming and on-call requirements raise strictness.
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Build and maintain scalable, fault-tolerant data platform systems supporting enterprise-grade analytical products.
Drive implementation of Semantic Modeling and Data Sharing features to enable governed data access and standardized business metrics.
Optimize query performance and manage operational reliability including on-call duties to ensure high platform stability.
Bachelor's degree in Computer Science or a related field.
5+ years of hands-on experience in Software or Data Engineering in high-traffic, highly available production environments.
Proficiency with cloud data warehouses (e.g., Snowflake), SQL, data transformation tools like dbt, and programming languages such as Python, Spark, Java, or Scala.
Experience participating in production on-call rotations and adhering to CI/CD practices.
Experienced in semantic modeling concepts with tools like dbt MetricFlow and query performance optimization.
Comfortable working in a high-scale, fast-paced data engineering environment requiring operational rigor and cross-functional collaboration.
Technical depth across big data technologies (Snowflake, Redshift, Hive/Hadoop) and exposure to streaming platforms like Kafka or Kinesis is advantageous.