ETL Data Engineer

Job Description:
We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 8 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that does Enterprise Data Warehousing (EDW) work, general extract, transform, and load (ETL) work, along with creating data pipelines that use change data capture (CDC) mechanisms to move data to a cloud provider.

Required Skills/Qualifications
Drive and desire to automate repeatable processes.
Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization.
Database Platforms: Oracle, EDB PostgreSQL, Snowflake, and SQL Server
OS Platforms: Windows Server and Linux OS
Languages: PL/SQL, Python, and T-SQL
Informatica PowerCenter and StreamSets

Responsibilities:
Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components.
Participates creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed. Assist with updating the enterprise standards when gaps are identified.
Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team).
Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows.
Follows standard change control and configuration management practices.
Participates in 24-hour on-call rotation in support of the platform.

Desired Skills/Qualifications
Experience working with near-Realtime data pipelines and traditional EDW workflows.