Job Description
Environics Analytics is searching for a Data Engineer dedicated to enhancing data infrastructure. This role incorporates building pipelines and quality control using SQL and Python.
Reporting to the Data Development Manager, you will play a vital role in modernizing data processes for demographic and behavioral data products. Your responsibilities will include migrating legacy workflows, developing automated pipelines, and conducting quality checks. The role blends engineering with essential analytical tasks, allowing you to enhance EA’s offerings effectively.
Key Responsibilities:
• Build and maintain automated data pipelines for ETL processes
• Refactor existing workflows into SQL and Python
• Create stored procedures for large-scale data transformations
• Conduct quality control checks to identify data issues
• Collaborate with teams to develop reliable codebases
Requirements:
• At least 2 years in data engineering or related field
• Proficient in SQL (...
Reporting to the Data Development Manager, you will play a vital role in modernizing data processes for demographic and behavioral data products. Your responsibilities will include migrating legacy workflows, developing automated pipelines, and conducting quality checks. The role blends engineering with essential analytical tasks, allowing you to enhance EA’s offerings effectively.
Key Responsibilities:
• Build and maintain automated data pipelines for ETL processes
• Refactor existing workflows into SQL and Python
• Create stored procedures for large-scale data transformations
• Conduct quality control checks to identify data issues
• Collaborate with teams to develop reliable codebases
Requirements:
• At least 2 years in data engineering or related field
• Proficient in SQL (...