Description

You will bridge data engineering and analytics to drive data-driven decision making through scalable pipelines and actionable insights.

Responsibilities

• Design, develop, and maintain scalable data pipelines to ingest, transform, and store large volumes of data across on-premises and cloud environments.
• Perform exploratory data analysis to identify trends, patterns, and insights through statistical modeling.
• Develop and maintain reports, dashboards, and visualizations to communicate findings to stakeholders.
• Optimize existing ETL processes and data workflows to ensure data integrity and availability.
• Manage data storage solutions including data lakes and data warehouses while implementing governance and security best practices.

Required Skills

• 10+ years of experience manipulating, processing, and extracting value from large, disconnected datasets.
• Expertise in SQL and other query languages for data extraction and manipulation.
• Hands-on experience with SSIS for on-premises data integration.
• Proficiency in cloud platforms including Azure, AWS, and GCP.
• Experience with ETL processes and managing both SQL and NoSQL databases.
• Ability to build visualizations and dashboards using Power BI or SaaS VA.
• Strong background in data modeling and statistical analysis.
• Experience supporting Agile teams to improve analytics fluency.

Education

• Any Graduate

Key Skills

Education

Any Graduate