Description

You will build and maintain scalable data pipelines and automation workflows to support data science and business analytics.

Responsibilities

• Design and build scalable ETL pipelines to move data from diverse sources into data warehouses.
• Automate complex data workflows using Apache Airflow for scheduling and management.
• Partner with data scientists to implement machine learning models in production via MLOps.
• Write high-quality Python code for data extraction, transformation, and loading tasks.
• Manage data storage and analytics using Snowflake and BigQuery while optimizing query performance.

Required Skills

• 3+ years of experience in data engineering or a related field.
• Proficiency in Python for data processing and scripting.
• Strong SQL skills and experience with data modeling.
• Experience with Apache Airflow or similar workflow management tools.
• Practical experience with Snowflake and BigQuery.
• Familiarity with MLOps and model deployment.
• Solid understanding of cloud platforms including AWS, Azure, or GCP.
• Experience using GitHub for version control and documentation.

Preferred Skills

• Knowledge of Databricks for data processing and analytics.
• Experience with data visualization tools like Tableau or Power BI.
• Familiarity with containerization technologies.

Key Skills

Education

Bachelor's degree in Computer Science