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Strong employer brand, popular Data Engineer role, metro location, and broad required skills increase applicant competition.
Core data engineering skills are broadly transferable, though banking and industry mentions create some domain preference.
No explicit years but mandatory technical stack and preferred certifications produce moderately strict shortlisting filters.
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Develop and implement data ingestion and ETL processes to load data into data lakes or warehouses.
Design, optimize, and maintain data storage and retrieval systems ensuring data quality and integrity.
Collaborate with data scientists and analysts to understand data requirements and troubleshoot data issues.
Bachelor's or Master's degree in Business Analytics, Computer Science, Statistics, or Data Science.
Certifications in data management or cloud/data engineering tools (e.g., Databricks Spark Developer, Azure Data Engineer Associate, Oracle 12c Certified Implementation Specialist).
Proficient in Data Engineering skills and tools including Snowflake platform and cloud computing.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in agile environments with strong collaboration and communication skills.
Strong understanding of data engineering in banking, capital markets, or commercial sales domains would be an advantage.
Ability to research and evaluate new data technologies for continuous data pipeline improvements.