Data Engineer III- Python / Data Lake

JPMorgan Chase & Co. • New York, NY

2d

About The Position

As a Data Engineer III- Python / Data Lake at JPMorganChase within the Consumer and Community Bank - Connected Commerce 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. 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.

Requirements

• Formal training or certification on data engineering concepts and 3+ years applied experience
• Experience across the data lifecycle
• Expertise in Python programming language for data engineering tasks (secondary alternative: Java)
• Expertise in cluster computing frameworks such as Spark or Flink
• Experience in building data lakehouse platforms (AWS data lake or Databricks or Hadoop)
• Experience in building DAGs/workflows using scheduling/orchestration tools (Airflow or AWS Step Functions or similar)
• Advanced at SQL (e.g., joins and aggregations)
• Working understanding of NoSQL databases
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Experience customizing changes in a tool to generate product

Nice To Haves

• Proficiency in developing data pipelines using AWS services such Glue, EMR, MSK, Kinesis, etc.
• Experience in using relational data stores (Postgres or similar) and NOSQL data stores (Cassandra or Dynamo or similar)
• Proficiency in IAC (Terraform)
• Knowledge of data serialization formats (e.g., JSON, Avro, Protobuf), big-data storage formats (e.g., Parquet, Iceberg, Hudi), data processing methodologies (batch, micro-batching, stream), and data modeling techniques (Dimensional, Data Vault, Kimball, Inmon)

Responsibilities

• 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, opportunity, inclusion, and respect

Benefits

• 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
• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees