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Tier-1 bank, metro locations and common Data Engineer title balanced by seniority and niche Quantexa requirement.
Requires Quantexa and regulated banking data experience, limiting cross-industry transferability.
Explicit 12+ years and mandatory Quantexa and regulated-environment experience raise strictness.
Develop innovative data-driven solutions including data pipelines, modelling, and ETL design to drive customer value and organizational simplification.
Lead automation of data engineering pipelines by removing manual stages and embed new data techniques across the business.
Deliver insights on data platform costs and develop streaming data ingestion and transformation solutions aligned with streaming strategy.
Minimum 12 years of total work experience with substantial experience using Quantexa.
Strong expertise in ETL technical design, data quality testing, cleansing, monitoring, sourcing, exploration, and analysis.
Proven experience in data warehousing, data modelling, and programming languages relevant to data engineering.
Experience working in governed and regulatory environments; strong communication skills for stakeholder management.
Senior data engineer comfortable operating at VP level responsible for complex architecture and strategic data pipeline solutions.
Experience in cost management and delivering scalable data architectures aligned with business and regulatory requirements.
Hands-on with modern code development practices and embedding new data techniques through mentoring and leadership.