Description

You will lead data engineering projects, building pipelines and collaborating with Architecture and BI teams to deliver technical solutions.

This role is on-site.

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.
• Strong proficiency in Oracle and PL/SQL.
• 2+ years of hands-on experience with Python, Unix, or Java.
• 1+ years of professional experience working with Snowflake.
• 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.

Key Skills

Education

Bachelor’s degree