Data Engineer- AWS/PySpark/ETL
Role details
Job location
Tech stack
Job description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer II at JPMorgan Chase within the Consumer and Community Banking and Data Technology, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives., * Develops secure high-quality production code, and reviews and debugs code written by others
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
- Implement best practices for data engineering, ensuring data quality, reliability, and performance
- Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
- Perform data extraction and implement complex data transformation logic to meet business requirements
- Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects
- Monitor and executes data quality checks to proactively identify and address anomalies
- Ensure data availability and accuracy for analytical purposes
- Communicate technical concepts to both technical and non-technical stakeholders
Requirements
- Formal training or certification on data en gineering concepts and 2+ years applied experience
- Experience with ETL tools like Ab Initio, Informatica, Data Pipeline and workflow management tools (Airflow, etc.)
- Strong hands on coding experience with PySpark, Python and AWS
- Experience working with modern Data Lakes : (Snowflake, Databricks etc.)
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Very strong problem solving skills
- Proficiency in automation and continuous delivery methods
Preferred qualifications, capabilities, and skills
- Advanced in one or more programming language(s) like SQL, Java etc
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
- In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experience
- Proven leadership and mentoring experience with varying levels of software engineers
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
