Description
You will lead development efforts while collaborating with Architecture, Data Governance, and Business Intelligence teams.
Responsibilities
- Partner with senior management to communicate technical requirements and project status.
- Execute data engineering projects within Agile environments using Kanban and Scrum.
- Build and manage CI/CD deployment pipelines.
- Evaluate new technologies and participate in Proof of Concepts (POCs).
Required Skills
- 8+ years of experience in the IT field.
- 4+ years of in-depth experience with SQL, ETL, and PL/SQL.
- 2+ years of hands-on experience with Python, Unix, or Java.
- 1+ years of professional experience working with Snowflake.
- Strong proficiency in Oracle and PL/SQL.
- Experience with Data Warehousing or MDM.
- Hands-on experience with AWS and Cloud technologies.
- Experience using Control M and UDeploy.
- Bachelor’s degree in Engineering, Computer Science, or a related technology field.
Preferred Skills
- Experience with Metadata management solutions or Data lineage.
- Knowledge of Kubernetes and Docker.
- Vendor management and QA/Testing experience.