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Mid-level data role, metro Bangalore, popular skillset and broad requirements increase applicant competition.
Data engineering skills (Kafka, Spark, SQL, Snowflake) are readily transferable across industries.
Explicit 5+ years requirement plus specialized streaming/ETL experience and concrete tech stack raises strictness.
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Design, develop, test, and maintain scalable batch and streaming data pipelines using technologies like Kafka/Confluent, Spark, Python, and SQL.
Build and support data ingestion, transformation, integration, and data governance capabilities across enterprise data sources including Snowflake and modern lakehouse tech such as Iceberg or Delta Lake.
Collaborate with architects and product teams on Data Plane services design, review technical designs, mentor junior developers, estimate tasks, and deliver high-quality solutions on schedule.
5+ years of software engineering or data engineering experience with at least 2+ years focused on data platforms, streaming systems, ETL, or data integration.
Strong hands-on experience with Kafka/Confluent, Spark, Python, Snowflake, SQL databases like SQL Server or PostgreSQL, and modern lakehouse technologies.
Bachelor's degree or equivalent experience.
Experience with data governance, cataloging, lineage, and data quality platforms preferred; familiarity with Azure, ADLS, CI/CD, Git, and Infrastructure-as-Code is a plus.
Experienced in designing and operating enterprise-grade streaming and batch data pipelines with strong focus on reliability and data governance.
Comfortable working cross-functionally with architects, product managers, and engineering teams in a hybrid work environment.
Skilled at mentoring junior developers and improving coding standards in data engineering contexts.