Description

You will design scalable, secure, and high-performance cloud solutions on Microsoft Azure services.

This role is hybrid.

Responsibilities

• Design large-scale data processing and analytics solutions using Azure Databricks.
• Develop architecture blueprints and technical documentation for data solutions.
• Lead implementation of Databricks-based solutions, adhering to best practices and business requirements.
• Lead Data Mesh and Data Products architecture building within Databricks-based solutions.
• Design and implement CI/CD pipelines using Azure DevOps.

Required Skills

• 10+ years of experience in data engineering or a related field.
• Extensive experience with Databricks and Apache Spark/PySpark.
• Proficiency in Python programming.
• Strong knowledge of SQL and relational databases.
• Experience with Azure cloud platforms.
• Experience with data warehousing solutions (e.g., Delta Lake, Lakehouse).
• Understanding of data governance and security best practices.
• Skills in Data Modeling.
• Experience implementing CI/CD Pipelines.

Preferred Skills

• Any Graduate

Key Skills

Education

Any Graduate