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Tier-1 employer, metro location, and broad Python/data skillset make applicant competition high.
Core data engineering skills transfer across industries, though banking domain knowledge adds some specificity.
Explicit 8+ years plus mandatory data, DB and DevOps expertise enforces strict shortlisting.
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Engineer and maintain innovative, high performance, secure software solutions within a feature team responsible for full software lifecycle.
Produce complex and critical software rapidly with high quality that adds measurable business value.
Collaborate with engineers, architects, and business analysts to optimize software engineering capabilities and implement scalable, automated, and performant systems.
At least 8 years of experience in software engineering, design, and architecture.
Strong expertise in Data Engineering, including ETL/ELT processes and data pipeline design.
Proficient in Python development for data processing, automation, and AI/ML integration.
Experience with Oracle, PostgreSQL, and AuroraDB databases, including schema design and performance tuning.
Experienced in working within Agile teams responsible for end-to-end software delivery lifecycle.
Skilled in DevOps practices and tooling relevant to cloud platforms like AWS and Google Cloud Platform.
Able to solve highly complex analytical and numerical problems related to data engineering and software scalability.