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Strong brand, generalist mid-level data engineer title, metro location, broad skill requirements.
Domain-specific AFC/AML preference increases specialization; core data engineering skills remain transferable.
Technical AWS, SQL and data modelling skills required but no explicit years or certifications, so moderate filter.
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Own end-to-end data engineering delivery for Anti-Financial Crime solutions, including requirements gathering, architecture design, and pipeline development.
Design and implement scalable data architectures and ETL/ELT pipelines on AWS infrastructure.
Collaborate with global stakeholders and Agile teams to meet compliance and business needs and ensure alignment to enterprise standards and best practices.
Proficiency in SQL or Python for data manipulation and analysis.
Hands-on experience with AWS services including Postgres, Step Functions, Lambda, Glue, S3.
Strong understanding of data modelling, schema design, and performance tuning.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in regulated environments such as financial crime, banking, fintech, or regtech preferred.
Comfortable collaborating with cross-functional teams including product owners, compliance, and architecture.
Capable of working in Agile development settings with high focus on scalable, secure data solutions.