Data Engineer III - (Pyspark/databricks/Mongo/Sql/Python)

JPMorgan Chase & Co.
Jersey City, NJ, United States
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Business Analytics Applications Information Engineering Extract Transform Load (ETL) Information Lifecycle Management Python (Programming Language) MongoDB NoSQL SQL Databases AWS Lambda Pyspark
+3 more
Physical Data Models Data Pipelines Databricks

Job description

As a Data Engineer III at JPMorganChase within the External Reporting and Finance Control team within Corporate 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., * 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

Requirements

  • 5+ years of experience in Data Engineering and ETL use cases
  • Experience across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases such as Mongo
  • 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

Preferred qualifications, capabilities, and skills

  • Hands on experience in Pyspark and Databricks and AWS Services such as ECS, Lambdas and EKS services.
  • Exposure to Java and Mongo is a plus.

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.

About the 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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jpmc.fa.oraclecloud.com

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