Description

You will lead agile teams to design and manage large-volume data architectures.

This role is on-site.

Responsibilities

• Lead agile teams with high ownership for data delivery.
• Design and manage large volume data warehouse architectures including RDBMS, data marts, and data lakes.
• Develop and optimize complex SQL statements and ETL/ELT processes.
• Implement dimensional modelling and integrate data via APIs.
• Apply SDLC best practices, Test Driven Development, and DevOps principles to data workflows.

Required Skills

• 7-10 years of experience in database leadership and architecture.
• Expertise in RDBMS, Data warehousing, and Dimensional modelling.
• Advanced SQL for writing and optimizing complex statements.
• Proficiency with Python and ETL/ELT processes.
• Experience with BI technologies such as PowerBI, Tableau, Business Objects, or Qlik.
• Strong understanding of SDLC and change management tools.
• Experience with DevOps and Test Driven Development.

Preferred Skills

• Experience with Cloud platforms like Azure, Snowflake, or Databricks.
• Hands-on with Spark and data movement tools like Informatica, Talend, MQ, or Kafka.

Key Skills

Education

Any Graduate