Description

You will lead the design, development, and implementation of data solutions to extract actionable insights from complex datasets.

Responsibilities

• Lead a team of data engineers and collaborate with cross-functional teams to strengthen data infrastructure and analytics capabilities.
• Design and implement data loading and aggregation frameworks using batch and real-time processing.
• Optimize data solutions in enterprise warehouses and big data repositories, focusing on cloud migration.
• Build and automate CI/CD pipelines to accelerate the delivery of data solutions.
• Apply data modeling techniques to design schemas that ensure integrity and performance.
• Implement data governance, security, and compliance practices to protect data assets.

Required Skills

• 13+ years of experience in data engineering.
• Proficiency in Python, Spark, and SQL.
• Experience building enterprise systems with Databricks and Snowflake.
• Hands-on expertise with Azure, AWS, or GCP.
• Experience implementing CI/CD pipelines for automated build, test, and deployment.
• Ability to process structured, semi-structured, and unstructured data.
• Strong understanding of data engineering principles and methodologies.
• Any Graduate degree.

Key Skills

Education

Any Graduate