Description

You will design and architect data monitoring and quality assurance systems to ensure high data standards across downstream products.

This role is on-site.

Responsibilities

• Design and implement data monitoring pipelines to proactively identify and resolve data quality issues.
• Develop metrics for data pipeline quality and create monitoring solutions using Python, Spark, and Airflow.
• Serve as a technical lead for data observability and federated query systems.
• Collaborate with stakeholders to define requirements and negotiate data quality SLAs.

Required Skills

• 3+ years of experience in Data Engineering or a similar role working with big data pipelines and analytics.
• 2+ years of hands-on experience with Apache Spark.
• 2+ years of coding experience in Python, Java, or an equivalent programming language.
• 2+ years of experience with SQL in scalable data warehouses such as BigQuery or Snowflake.
• Proficiency with cloud technologies, specifically GCP or AWS.
• Experience with Apache Airflow.

Preferred Skills

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

Key Skills

Education

ANY GRADUATE