ETL Data Engineer - JPMC

PRI Global
Smithfield, RI, United States
about 2 months ago
Apply on www2.jobdiva.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$120,000.0 - $135,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Extract Transform Load (ETL) Digital Assets Python (Programming Language) Standard Sql SQL Databases Snowflake Sap Business Objects Data Layers Data Lineage
+1 more
Code Restructuring

Requirements

Job Description: Hands on delivery experience of including lead of 10+ years proven experience with large-scale migration implementation with

  • Proven experience modernizing and migrating BI data assets, including ETL jobs, source tables, and analytical datasets

  • Strong command of SQL for building, refactoring, and optimizing complex transformations

  • Skilled in analyzing and documenting end to end data lineage, including mapping legacy warehouse tables to ETL jobs, workflows, and scheduling dependencies to enable safe decommissioning

  • Experience designing analytical data models and supporting semantic layers that enable consistent metrics, including Business Objects Universe

  • Strong Knowledge of SQL, Snowflake, Python and AWS.

  • Experience with AWS like Batch, S3, EC2, etc…

  • Strong understanding of data quality, reconciliation, and certification practices

Apply for this position

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

Apply on www2.jobdiva.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:58 min

Shifting security permissions from applications to the data layer

Neena Thomas Neena Thomas · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:44 min

Automating storage savings with S3 intelligent tiering

Sébastien Stormacq · World Congress 2021

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all