Data Engineer - Manager
State Street CorporationMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, common data-engineer role, metro context, and broad in-demand skills raise competition.
Core data engineering skills transfer across industries, but financial-services preference raises specificity to medium.
Explicit 7-9 years plus mandatory Python, Spark, Databricks, and SQL indicate high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable batch ETL pipelines using Python, Apache Spark, and Databricks on AWS.
Build and maintain SQL-based transformations and data validation logic supporting downstream analytics and reporting.
Ensure data quality, performance, and reliability within cloud-based data platforms.
Minimum Requirements
7-9 years of experience in data engineering.
Strong expertise with Python, Apache Spark, Databricks on AWS, and SQL.
Experience in cloud data engineering and big data technologies.
Solid understanding of data warehousing and data modeling concepts.
Ideal Candidate Profile
Experienced in large enterprise environments, preferably financial services.
Hands-on with end-to-end cloud data engineering projects emphasizing batch ETL and data modeling.
Operates with a strong technical focus on scalable data pipeline architecture and data quality assurance.