Data Engineer - Manager
State Street CorporationMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro Bangalore, common Data Engineer role with broad cloud/Spark skillset increases applicant density.
Core cloud and Spark skills are transferable, though financial services preference increases domain bias.
Explicit 7-9 years requirement and mandatory Python, Spark, Databricks skills raise screening rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Design and develop scalable batch ETL pipelines using Python and Apache Spark on Databricks (AWS).
Build and optimize data solutions including SQL-based transformations and data validation logic to support analytics and reporting platforms.
Ensure data quality, performance, and reliability in cloud-based data platforms, collaborating with analysts and technology teams.
Minimum Requirements
7-9 years of experience in data engineering.
Strong expertise in Python, Apache Spark, Databricks on AWS, and SQL.
Experience with data warehousing and data modeling concepts.
Work Experience Required: 7-9 years in data engineering.
Ideal Candidate Profile
Experienced in cloud data engineering within large enterprise environments, preferably financial services.
Proficient in building data models and scalable ETL pipelines on AWS cloud platform.
Capable of delivering reliable, high-performance data solutions supporting downstream analytics in collaborative cross-functional teams.