Description

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

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 (Azure/AWS/GCP).
• 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.
• Ensure data quality, integrity, and security across all platforms.

Required Skills

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

Key Skills

Education

Any Graduate