Data Engineer- (AWS/PySpark/ETL)

Job Description
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 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.

Job responsibilities



* 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

Required qualifications, capabilities, and skills


* 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 ...