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Senior, niche PySpark/data platform role at a known bank in Bengaluru yields moderate applicant competition.
Requires financial regulatory experience and model-monitoring governance, making cross-industry fit constrained.
Mandatory 12+ years, specific PySpark/AWS/model-monitoring and regulated environment indicate strict filtering.
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Develop and optimize data engineering pipelines and ETL solutions focusing on automation and scalability.
Drive data architecture strategies by applying advanced data techniques and collaborating across teams to meet cost and performance targets.
Lead development of streaming data ingestion and transformation solutions aligned with organizational streaming strategy.
Minimum 12 years of experience in data engineering, with focus on model monitoring and regulatory compliance throughout model lifecycle.
Proficiency in PySpark, SQL, data warehousing, Spark optimization, and performance tuning.
Experience with cloud environments, preferably AWS, and agile team collaboration.
Experience in a governed, regulatory environment along with ETL technical design, data quality, and data sourcing skills.
Experienced leader with capacity to drive adoption of target architectures across multiple portfolios involving model monitoring and data governance.
Strong technical background in software development, data engineering best practices, and cloud-based data solutions.
Skilled in cross-functional stakeholder engagement including product, risk, and data teams to build scalable and compliant data monitoring capabilities.