Job Description
Job Responsibilities:
Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow
Develop, test, and deploy Python-based data processing solutions
Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs
Write complex and optimized SQL queries for data transformation and extraction
Ensure data quality, accuracy, and compliance with internal and external standards
Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows
Utilize version control (Git) and CI/CD pipelines for code deployment and process automation
Lead and mentor team of data engineers, delivering robust data solutions that improve forecasting and operational efficiency.
Qualifications Needed:
• Python
• SQL
• Snowflake
• Databricks
• Azure (or AWS)
• ETL/ELT
• ADF / Apache Airflow
• Data Warehousing
•...
Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow
Develop, test, and deploy Python-based data processing solutions
Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs
Write complex and optimized SQL queries for data transformation and extraction
Ensure data quality, accuracy, and compliance with internal and external standards
Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows
Utilize version control (Git) and CI/CD pipelines for code deployment and process automation
Lead and mentor team of data engineers, delivering robust data solutions that improve forecasting and operational efficiency.
Qualifications Needed:
• Python
• SQL
• Snowflake
• Databricks
• Azure (or AWS)
• ETL/ELT
• ADF / Apache Airflow
• Data Warehousing
•...
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