Data Engineer
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
You thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorgan Chase within the CCB you are part of an agile team that works to enhance design and deliver data collection storage access and analytics solutions in a secure stable and scalable manner. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities:
- Design develop and maintain scalable data pipelinesusing PySpark AWS and Snowflake to support platform modernization and data delivery goals.
- Contribute to the exit of legacy platforms(HWX and ABINITIO) by migrating data products and processes to modern cloud-based solutions.
- Collaborate with cross-functional teamsto deliver product and D&A (Data & Analytics) deliverables ensuring alignment with business objectives.
- Optimize ETL processes and drive operational excellenceby implementing best practices in data engineering and automation.
- Enhance productivity for BOW and RTB initiativesthrough innovative data solutions and teamwork.
- Ensure robust risk & controlsin all data delivery activities maintaining compliance and data integrity.
- Demonstrate leadership and teamworkin driving data delivery projects fostering a culture of collaboration and continuous improvement.
- Produce architecture and design artifactsfor data applications ensuring design constraints are met and solutions are scalable.
- Analyze synthesize and visualize datafrom diverse sources to support decision-making and continuous improvement.
- Identify hidden problems and patterns in datato drive improvements in coding hygiene system architecture and operational processes.
Required qualifications capabilities and skills
- Experience in data engineering or a closely related field.
- Proven experience designing and building scalable data pipelines (HWX and ABINITIO) for batch and streaming use cases using modern technologies (e.g. Python SQL Spark Flink Airflow)
- Hands-on experience in building and operating workloads Databricks.
- Hands-on experience creating data visualizations and dashboards in Tableau.
- Familiarity with cloud data platforms (e.g. AWS Azure GCP) and big data technologies.
- Strong analytical skills with the ability to interpret complex data build performant datasets and deliver business value.
- Experience integrating data from multiple sources and systems (APIs databases files streaming) including data modeling and orchestration best practices.
- Ability to work independently and collaboratively in a fast-paced agile environment partnering with data scientists analysts software engineers and business stakeholders.
Excellent communication and documentation skills including clear articulation of data designs lineage and assumptions for technical and non-technical audiences.
- Awareness or experience with financial concepts especially in banking treasury and cash management.
- Experience supporting predictive analytics or machine learning workflows.
- Knowledge of data governance security and compliance in financial services.
- Familiarity with CI/CD concepts Git and end to end software delivery lifecycle
- Familiarity with OOP languages such as Java
- Exposure to front end technologies such as Javascript and React
Required Experience:
IC
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
