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 & Community Banking Team, 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
- Develop enterprise data models, Design/ develop/ maintain large-scale data processing pipelines (and infrastructure)
- Lead code reviews and provide mentoring thru the process.
- Drive data quality, Ensure data accessibility (to analysts and data scientists).
- Ensure compliance with data governance requirements.
- Ensure business alignment (ensure data engineering practices align with business goals)
- Supports review of controls to ensure sufficient protection of enterprise data
- Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 3+ years applied experience using Python, Pyspark, AWS, Data modelling
- Experience across the data lifecycle
- Experience in advanced at SQL (e.g., joins and aggregations)
- Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Experience in at least one programming language (preferably Python, alternatively Java or Scala)
- Experience in at least one cluster computing frameworks (preferably Spark, alternatively Flink or Storm)
- Experience in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or similar) and atleast one NOSQL data stores (Cassandra, Dynamo, MongoDB or similar)
- Experience in at least one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar)
- Experience in Unix scripting, data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), big-data storage formats (Parquet, Iceberg, or similar), data processing methodologies (batch, micro-batching, and stream)
- Experience in one or more data modelling techniques (Dimensional, Data Vault, Kimball, Inmon, etc.)
- Experience in applying Agile methodology (refine user stories, documents plans to deliver user-stories, develop PI plans), TDD (or BDD) and CI/CD tools
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
