Description

You will own the design, execution, and optimization of scalable data management strategies and infrastructure.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines using AWS services including S3, Lambda, Redshift, and Glue.
• Establish and enforce data governance policies to ensure accuracy, privacy, and compliance.
• Optimize data infrastructure and processing workflows using Python and PySpark.
• Partner with engineering and product teams to make data actionable for business needs.
• Lead and mentor the data engineering team to foster continuous improvement.

Required Skills

• 10+ years of experience managing data infrastructure and optimizing pipelines at scale.
• Strong hands-on proficiency with AWS services (S3, Lambda, Redshift, Glue).
• Expertise in Python for designing and optimizing data processing workflows.
• Experience with Apache Airflow and Apache Iceberg.
• Solid understanding of data governance, privacy, and quality control best practices.
• Ability to lead, mentor teams, and influence stakeholders on data initiatives.

Key Skills

Education

Any Gradute