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Mid-level Data Engineer in Bangalore with broad Kafka/streaming requirements at a known analytics firm increases competition.
Core data engineering skills transfer across industries, but Kafka/CDC specialization creates moderate industry specificity.
Role demands specific streaming, Kafka/CDC, schema, cloud, and SQL/Python skills, raising strict technical shortlisting.
Own data integration and streaming platform development focusing on event-driven architectures.
Manage Confluent Kafka components including topics, schemas, connectors, and stream processing pipelines.
Integrate data across legacy and modern platforms ensuring data quality and real-time streaming reliability.
Experience with data engineering concepts: data modeling, transformation, and data integration.
Hands-on expertise with Apache Kafka/Confluent Platform and CDC (Change Data Capture) technologies.
Proficient with SQL and Python; experience with relational databases.
Work Experience Required: Not explicitly mentioned in the JD.
Strategic experience in cloud environments and DevOps/CI-CD practices for data platforms.
Solid grasp of event-driven architecture, real-time data streaming, and schema management (Avro/JSON, Schema Registry).
Capable of liaising effectively across technical and business teams to deliver integrated data solutions.