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Tier-1 brand, mid-level data engineer in Bangalore with broad tech requirements increases applicant competition.
Core data engineering skills transfer broadly, but AbInitio and banking compliance needs moderately limit cross-industry fit.
Multiple explicit years and numerous mandatory technical skills (Spark, AbInitio, Python, SQL) increase shortlisting strictness.
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Lead and contribute to large-scale data processing initiatives aligned with enterprise strategy.
Build and maintain optimized, highly available data pipelines and oversee data warehouse and analytics environments.
Resolve moderately complex data engineering issues and lead teams to achieve deliverables in compliance with data policies.
4+ years of Data Engineering experience (including work experience, training, military, education).
3+ years experience with Spark, Abinitio, Python or other scripting language, SQL, and data warehousing.
1+ years experience each with Hadoop, Hive, Python, Kubernetes, Docker, Google Big Query.
Experience in Agile environments (Scrum or Kanban) and ability to conduct code reviews focused on testability and coverage.
Experienced in end-to-end data engineering project execution with strong technical leadership capabilities.
Skilled in multiple big data and cloud technologies including Kubernetes, Docker, Google Big Query, Autosys, Kafka, NoSQL DBMS like MongoDB or Neo4j.
Comfortable presenting technical information to both technical and executive audiences and working in Agile teams.