Description

You will build and maintain data monitoring pipelines to identify and resolve quality issues before they impact downstream products.

This role is on-site.

Responsibilities

• Design and implement data monitoring pipelines to proactively resolve data quality issues.
• Collaborate with stakeholders to define requirements, develop quality metrics, and negotiate data quality SLAs.
• Lead technical efforts for data observability and federated query systems to enable data democratization.
• Develop new methodologies to improve access to trustworthy data and enhance pipeline performance.

Required Skills

• 3+ years of experience in Data Engineering or similar roles working with big data pipelines and analytics.
• 2+ years of hands-on experience with Apache Spark.
• 2+ years of professional coding experience in Python, Java, or an equivalent language.
• 2+ years of experience using SQL in scalable data warehouses such as BigQuery or Snowflake.
• Proficiency in cloud technologies, specifically GCP or AWS.
• Experience with Apache Airflow.
• Deep understanding of Distributed Systems and Effective Data Management.
• Proven ability to implement data engineering best practices and optimize pipeline scalability.

Preferred Skills

• Bachelor’s Degree in Computer Science, Engineering, or a related STEM field.

Key Skills

Education

ANY GRADUATE