Description

You will own the end-to-end data management strategy and pipeline execution.

This role is hybrid.

Responsibilities

• Define and execute the data management vision, strategy, and best practices.
• Design, implement, and maintain scalable data pipelines for large-scale datasets.
• Implement data governance policies to ensure data accuracy and compliance.
• Partner with engineering and product teams to make data accessible for decision-making.
• Lead and develop a team of data engineers and analysts.

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 and PySpark for data processing and pipeline development.
• Expertise in using Apache Airflow and Apache Iceberg.
• Solid understanding of data privacy, quality control, and governance best practices.
• Proven ability to lead, mentor teams, and influence stakeholders on data initiatives.
• Strong problem-solving abilities with a data-driven approach.
• Experience with designing and optimizing data workflows.

Key Skills

Education

Any Graduation