Data Analytics Engineer III

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Requirements:

• Experience with dbt and modern data modeling practices.
• Proven expertise in implementing and maintaining QA/QC processes for data pipelines.
• Proficiency in SQL and development languages like Python.
• Ability to lead daily efforts and contribute to long-term data governance strategy.
• Strong problem-solving skills and a self-starter mindset.
• Experience with data warehouses like Snowflake and relational databases.
• Understanding of data governance principles and data lineage.
• Experience with Airflow for managing ETL/ELT pipelines.
• Familiarity with API integration and design patterns.
• Experience developing scalable data pipelines and resolving production data issues.

Responsibilities:

• Lead day-to-day efforts to ensure data quality, governance, and reliability, driving long-term data governance strategy.
• Design and implement automated data quality assurance (QA) and quality control (QC) processes.
• Develop and maintain data validation frameworks and testing strategies for pipelines and transformations.
• Conduct ad hoc analysis and investigations to deliver actionable insights.
• Collaborate with the Data Platform team to improve data infrastructure and processes.