Senior Data Engineer / SSE
Apna (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate scalable batch and near-real-time data pipelines powering product, business, growth, and ML use cases.
- Develop and improve lakehouse architecture using Apache Hudi; maintain query engines like Presto/Trino and workflow orchestration with Apache Airflow.
- Ensure data platform reliability, quality, performance, cost optimization; create reusable data models and reliable data marts for analytics and product teams.
Minimum Requirements
- 4-6 years of data engineering experience, preferably at scale.
- Hands-on experience with Apache Airflow or similar orchestration systems.
- Strong knowledge of Presto/Trino or other distributed query engines.
- Experience with Apache Hudi concepts including copy-on-write vs merge-on-read, upserts, incremental reads, compaction, partitioning, and schema evolution.
Ideal Candidate Profile
- Strong background in distributed data processing and storage system design with ability to build reliable ETL/ELT pipelines.
- Proficient in SQL and at least one programming language such as Python, Java, or Scala with strong debugging and production ownership skills.
- Experienced in designing and improving complex data architectures (Data warehouse, Lakehouse, Lambda/Kappa, Medallion, Event-driven) and partnering with cross-functional teams to deliver scalable data platform solutions.