Data Engineer with SQL and Python
Core
Design, develop, test, and support data and AI products for risk management and compliance, converting business requirements into effective solutions.
Role type
Data Engineer
Builds
Data and AI products
Domain
Banking / Data Engineering
Deliverable
production ML models | product features
Required skills
SQL, Python, Spark/PySpark, Scala, ETL/ELT development, data warehousing, data modeling, data profiling, batch and streaming data handling
Preferred skills
SSIS, AWS, Azure, Glue, Hadoop, Netezza, NoSQL, data analysis
Technologies
AWS, Azure, Hadoop, JIRA, PySpark, Spark, SQL, Scala, SSIS, NoSQL
Responsibilities
Plan, design, develop, test, implement, document, and support data and AI products; Collaborate with stakeholders to convert requirements into solutions; Create frameworks, automation scripts, and reusable code; Monitor and conduct regression testing; Resolve production issues and root-cause analyses; Participate in process improvement initiatives
