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Tier-1 brand, popular data engineer role, metro location, and broad skillset increase candidate competition.
Role mandates financial-services experience and domain knowledge, reducing cross-industry transferability.
Mandatory 7+ years, Databricks/PySpark expertise and financial-services experience enforce stringent screening.
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Design, develop, test, and maintain data pipelines and workflows using Python, PySpark, SQL, Docker, shell scripting, and Databricks.
Lead projects with ownership of deliverables, collaborate with cross-functional teams to define scalable engineering solutions, and serve as a Subject Matter Expert in technical and domain areas.
Manage CI/CD pipelines and continuously improve processes, including troubleshooting production issues and maintaining technical documentation.
7+ years of experience in technology and/or data functions within financial services or consulting.
Hands-on experience with Databricks, Spark architecture, Python-based application development, and cloud platforms (preferably AWS).
Proficiency in Python, PySpark, SQL, shell scripting, and CI/CD tools such as Jenkins, Artifactory, Bitbucket.
Bachelor's degree or equivalent related work experience.
Experienced in fast-paced, dynamic financial services environments implementing data strategies and transformations.
Capable of independently leading projects with full ownership and cross-team collaboration.
Strong technical skills combined with effective communication for liaising among business, development, QA, and operations teams.