Description

You will build and manage data pipelines to support large-scale data analysis and reporting.

Responsibilities

• Develop ETL processes for data extraction, transformation, and loading using SQL and NoSQL databases.
• Automate data workflows and deployments using Jenkins pipeline orchestration.
• Design and maintain data visualizations and reports in Power BI.
• Collaborate with cross-functional teams to define and gather technical data requirements.
• Analyze large datasets to generate actionable insights and reports.

Required Skills

• 10+ years of professional data engineering experience.
• Proficiency in Python for data manipulation and automation.
• Expertise in SQL and NoSQL databases.
• Strong experience with ETL development.
• Advanced skills in Power BI and data visualization.
• Experience with Jenkins for pipeline orchestration.
• Familiarity with Jira for issue tracking and project management.
• Ability to work with large-scale datasets.

Preferred Skills

• Experience with Docker and Kubernetes.
• Cloud computing knowledge.

Key Skills

Education

Any Graduate