Description

You will design, build, and maintain scalable data pipelines and infrastructure for efficient data storage and analysis.

This role is on-site.

Responsibilities

• Design and implement scalable ETL pipelines to move data from various sources into data warehouses or data lakes.
• Develop and optimize data models and schemas to support reporting and analytical needs.
• Write and optimize complex SQL queries for data extraction and transformation.
• Contribute to data architecture decisions regarding storage and processing.
• Ensure data security and compliance with governance policies and protection regulations.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in SQL for complex data extraction and transformation.
• Proficiency in Python.
• Experience with PySpark.
• Hands-on experience with GCP.
• Strong understanding of ETL processes.
• Any Graduate degree.

Preferred Skills

• Proven analytical and problem-solving skills.
• Effective communication and leadership abilities.

Key Skills

Education

Any Graduate