JPMorgan Data Engineer III 

United States, Ohio, Columbus 

511050958

Job responsibilities

• Collaborates closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
• Implements best practices for data engineering, ensuring data quality, reliability, and performance
• Contributes to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
• Performs data extraction and implement complex data transformation logic to meet business requirements
• Leverages advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects
• Monitors and executes data quality checks to proactively identify and address anomalies
• Ensures data availability and accuracy for analytical purposes
• Identifies opportunities for process automation within data engineering workflows
• Communicates technical concepts to both technical and non-technical stakeholders

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering* concepts and 3+ years applied experience
• 4+ years Data Engineering experience in building and optimizing data pipelines, architectures, and data sets
• Proficiency in object-oriented/object function scripting languages: Python etc.
• Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases
• Working understanding of NoSQL databases
• Experience in developing ETL process and workflows for streaming data from heterogeneous data sources
• Willingness and ability to learn and pick up new skillsets

Preferred qualifications, capabilities, and skills

• Experience with data pipeline and workflow management tools: Airflow etc.
• Experience working with modern DataLakes: Snowflake, Databricks etc.
• Knowledge of data engineering practices, cloud platforms, automation, and CI/CD pipeline development