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Tier-1 brand, remote role, mid-level popular title, metro location and broad skill requirements drive high competition.
Core data engineering skills are transferable across industries, though finance platform experience is moderately important.
Explicit 5+ years requirement and many mandatory platform and tooling skills enforce strict shortlisting.
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Design, develop, test, deploy, and maintain core components of the Enterprise Data Platform (EDP) using technologies like Airflow, Python, Snowflake, and dbt.
Automate data pipelines and enhance performance, scalability, and operational support (L2/L3) of data platform frameworks.
Collaborate with product managers, data owners, and other stakeholders throughout the software development life cycle and contribute to technical design decisions.
At least 5+ years of experience as a data engineer.
Proficient in SQL, stored procedures, UDFs, advanced Python or Advanced Core Java programming.
Experience with Snowflake or similar cloud-native databases, Airflow orchestration, dbt, and Azure services (especially ADLS) is required.
Bachelor's degree in computer science is strongly preferred.
Experienced in end-to-end data engineering with strong knowledge of modern data tools and platforms (EDP, Airflow, Snowflake, dbt).
Capable of operating effectively in a matrixed, fast-paced environment with Agile development practices and strong communication skills.
Able to own complex system design, performance tuning, root cause analysis, and provide operational support for production systems.