Role - Data Engineer
Experience - 3-6 yrs
Location - Bangalore
Technical Priorities
Real-time CDC: Ownership of high-throughput ingestion from RDBMS to Lakehouse using Debezium , Peer DB.
Lakehouse Architecture: Designing and optimizing table formats ( Iceberg, Delta, Hudi ) for both performance and storage efficiency.
Unified Compute: Developing robust ETL/ELT frameworks in Py Spark and Flink (handling both batch and streaming workloads).
Infrastructure & Ops: Managing data workloads on AWS (EMR, EKS, MSK, S3) and automating everything via Gitlab/Github Actions.
Query & BI: Tuning Trino or Clickhouse to power real-time dashboards in Metabase , Superset , and Power BI.
Requirements
Experience: 3–5 years in Data Engineering, specifically with distributed systems and cloud-native architectures.
Coding: Expert-level Python/Py Spark and SQL.
Familiarity with Go/Java/Scala is a plus
Infrastructure: Hands-on experience with AWS (S3, EKS, MSK) and Infras...