Description

You will design, build, and optimize scalable data pipelines and analytics solutions.

This role is hybrid.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Databricks, Fabric, or Snowflake.
• Build and optimize data workflows for performance, scalability, and cost efficiency in cloud environments.
• Implement and manage data lakes, data warehouses, or lakehouse architectures.
• Develop and maintain Power BI dashboards and reports to support business insights and decision-making.

Required Skills

• 5-7 years of experience in Data Engineering.
• Proven experience with Databricks, Fabric, or Snowflake.
• Hands-on experience with Power BI, including data modeling, DAX, dashboard creation, and performance optimization.
• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
• Experience with data modeling and building scalable pipelines in cloud environments.
• Knowledge of Azure, AWS, or GCP and their data ecosystems.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

Key Skills

Education

Any Graduate