Description

You will manage end-to-end data lifecycles and build pipelines to support data-driven decision-making.

This role is on-site.

Responsibilities

• Design and manage ETL processes and data pipelines.
• Extract and analyze data using SQL to generate business insights.
• Implement data warehousing techniques and cube design.
• Develop dashboards and reports using visualization tools.
• Collaborate with stakeholders to define requirements and deliver recommendations.

Required Skills

• 3+ years of experience with data analysis, databases, and ETL processes.
• 3+ years of experience in Python, Java, or C++.
• Proficiency in SQL and database management systems.
• Experience with ETL and data pipeline management.
• Ability to perform statistical analysis and pattern identification.
• Bachelor’s degree in Engineering, Computer Science, or a related field.

Preferred Skills

• Master’s degree in Engineering, Computer Science, or Business.
• Experience with GCP, BigQuery, Spanner, F1, or Criti.
• Exposure to full-stack development, particularly Angular frameworks.

Key Skills

Education

Bachelor’s degree in Engineering, Computer Science