Description

You will own the design and execution of the data management strategy.

Responsibilities

• Design, implement, and maintain scalable data pipelines using industry-standard tools.
• Implement data governance policies and frameworks to ensure data accuracy and compliance.
• Partner with engineering, product, and business teams to make data actionable.
• Optimize data infrastructure leveraging modern data tools and platforms.
• Lead and develop the data engineering team, fostering continuous improvement.

Required Skills

• 10+ years of experience managing data infrastructure and optimizing pipelines at scale.
• Strong hands-on experience with AWS services (S3, Lambda, Redshift, Glue).
• Proficiency in Python for designing and optimizing data processing workflows.
• Experience with Apache Airflow and Apache Iceberg.
• Familiarity with PySpark.
• 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