Description

You will design, build, and maintain scalable data pipelines and analytics infrastructure for structured and unstructured data across on-premises and cloud environments.

This role is remote.

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 to deliver actionable business insights.
• 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.
• Strong proficiency in SQL and query languages for data extraction and manipulation.
• Hands-on experience with ETL tools: SSIS and Azure Data Factory (ADF).
• Expertise in Power BI, Tableau, and DAX for visualization.
• 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