Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

 As a Data Engineer III at JPMorgan Chase within the Infrastructure Platforms Asset Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

 

Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplaceCollaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiativesImplement best practices for data engineering, ensuring data quality, reliability, and performanceUnderstand the needs of business stakeholders/product owners and develop data visualizations, dashboards and reports Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflowsPerform data extraction and implement complex data transformation logic to meet business requirementsLeverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projectsMonitor and executes data quality checks to proactively identify and address anomaliesEnsure data availability and accuracy for analytical purposesIdentify opportunities for process automation within data engineering workflowsCommunicate technical concepts to both technical and non-technical stakeholders

 

Required qualifications, capabilities, and skills

 

Formal training or certification on Data Engineering concepts and 3+ years applied experienceExperience across the data lifecycleAdvanced at SQL (e.g., joins and aggregations)Working understanding of NoSQL databasesSignificant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysisExperience customizing changes in a tool to generate product4 + years of Data Engineering experience in building and optimizing data pipelines, architectures, and data setsProficiency in object-oriented and object function scripting languages (Python etc.)Strong understanding of data visualization principles and experience in creating user-centered designsExperience in developing ETL process and workflows for streaming data from heterogeneous data sourcesWillingness 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.)Experience in (BI&A and dashboarding tools Qlik and/or Tableau)Knowledge of data engineering practices, cloud platforms, automation, and CI/CD pipeline development