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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.