Lead ETL Engineer

Tranzeal, Inc.

Los Angeles, CA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

dice.com

Tech stack

Extract Transform Load (ETL) Data Mart Data Warehousing Data Intelligence Metadata Repositories Operational Data Store Performance Tuning SQL Databases Data Streaming Azure Data Factory Informatica Powercenter Data Lakes

+1 more

Semi-structured Data

Job description

Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories.

Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams.

Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.

Requirements

The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of data warehouse related technologies to play an important role in developing and delivering early proofs of concept and production implementation. The successful candidate will have hands-on experience in a multitude of data domains; including building data warehouse models, ETL development, automated testing framework, performance tuning, service delivery, incident resolution tracking, and change management.