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Mid-level, popular data-engineer role in Bangalore with broad required skills yields high competition.
Data platform skills are broadly transferable, though Hudi/Presto experience favors data-centric companies.
Multiple mandatory data-platform technologies plus explicit 4-6 year requirement makes shortlisting highly selective.
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Design, build, and operate scalable batch and near-real-time data pipelines powering analytics, ML, and product intelligence at Apna.
Develop and optimize lakehouse architecture using Apache Hudi and manage large-scale query performance using Presto/Trino.
Drive data platform reliability, observability, SLA tracking, and mentor data engineers while influencing architecture decisions.
4-6 years of work experience in data engineering at scale.
Hands-on experience with Apache Airflow or similar orchestration tools.
Strong expertise in Presto/Trino query engines and Apache Hudi concepts including schema evolution and upserts.
Proficient in SQL and at least one programming language among Python, Java, or Scala.
Location: Must work from office in Domlur, Bangalore (5 days/week).
Experienced in building scalable distributed data systems with strong ownership of ETL/ELT reliability and performance.
Skilled at balancing trade-offs involving freshness, cost, latency, and complexity in data pipelines.
Able to collaborate cross-functionally with product, ML, and analytics teams to convert data needs into scalable platform solutions.