We're looking for a robust Data Engineer who can architect, build, and own production-grade data platforms. This is a hands-on IC role; you'll be expected to write code every day, solve complex engineering problems, work directly with clients, and drive technical decisions from design through production.

Requirements 5+ years in Data Engineering: Apache Kafka (Streaming, DLQ, Replay, Exactly-once).

Python and/or Java + Advanced SQL.

Batch & Real-time Data Pipelines.

CDC, Lakehouse/Medallion Architecture.

Data Quality, Validation & Reconciliation Frameworks.

MDM, Identity Resolution & Golden Records.

Git, YAML/JSON, Source-to-Target Mapping. We're Specifically Looking For Someone Who Loves being hands-on and building systemsnot just reviewing code.

Can independently interact with clients and lead technical discussions.

Takes complete ownership from requirements to production.

Has worked in a startup or high-growth environment and thrives with ambiguity.

Can independently own client conversations and technical decisions.

Financial Reconciliation, Schema Registry (Avro/Protobuf), or Mainframe integration experience is a plus. This job was posted by Divya Kandula from Invictus.

📌 Data Engineer (Bengaluru)
🏢 Invictus
📍 Bengaluru