Description

You will own the design, development, and maintenance of scalable data pipelines for structured and unstructured data across on-premises and cloud environments. You will build and optimize data models, including star and snowflake schemas, to support enterprise data warehousing and analytics. You will develop interactive dashboards and visualizations to deliver actionable business insights and perform statistical modeling to identify trends.

Responsibilities

• Design and maintain scalable data pipelines for ingesting, transforming, and storing large volumes of data.
• Build and optimize data models using star and snowflake schemas for enterprise data warehousing.
• Develop interactive dashboards and visualizations using Power BI, Tableau, and DAX.
• Perform exploratory data analysis, statistical modeling, and predictive analytics to support strategic decision-making.
• Ensure data quality, integrity, governance, and security by implementing best practices.

Required Skills

• 10+ years of experience in data engineering and analytics.
• Expertise in Power BI, Tableau, and DAX for visualization.
• Strong proficiency in SQL and query languages for data extraction and manipulation.
• Hands-on experience with ETL tools: SSIS and Azure Data Factory (ADF).
• Experience with cloud data platforms (Azure preferred; AWS/GCP acceptable), including Azure Databricks.
• Knowledge of DevOps practices: Git, CI/CD pipelines, Docker, and Kubernetes.
• Familiarity with Infrastructure as Code (Terraform/ARM).

Preferred Skills

• Experience collaborating in Agile teams with product owners and business stakeholders.
• Ability to communicate findings through data storytelling and presentations.

Key Skills

Education

Any Gradute