Description

You design and maintain scalable data pipelines, table structures, and ETL workflows for analytics and data science teams.

This role is on-site.

Responsibilities

• Design and implement ETL workflows, data pipelines, and table structures for analytics and data science.
• Optimize data storage, retrieval, and processing for cost-efficiency and performance.
• Collaborate with Analytics and Data Science teams on feature engineering and KPI computations.
• Develop and maintain data models for both structured and unstructured data.
• Manage scalable data architectures using cloud platforms.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in SQL and Python for optimized queries and scripting.
• Hands-on experience with PySpark for distributed data processing.
• Experience with Spark and Airflow for big data frameworks and orchestration.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Proficiency in Data Modeling.

Preferred Skills

• Exposure to Generative AI applications.
• Experience in ETL optimization and performance tuning.

Key Skills

Education

Any Graduate