Description

You will design and implement big data engineering solutions within Azure cloud environments, owning the end-to-end data ingestion, processing, and analytical pipeline lifecycle.

Responsibilities

• Develop and deploy Azure Databricks solutions using Azure Cloud services.
• Design, develop, and deploy ETL pipelines to cloud services.
• Optimize model codes to ensure faster execution.
• Collaborate with onshore teams to align technical delivery with business goals.

Required Skills

• 12 to 14+ years of experience in big data, relational databases, NoSQL, and data warehouse solutions.
• Extensive hands-on experience with Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, and Azure SQL DB.
• Proficiency in Python and PySpark.
• Strong knowledge of Data Warehouse (DWH) concepts and Snowflake implementation.
• Expertise in SQL and procedural SQL languages.
• Practical experience with DevOps and CI/CD deployments.
• Experience working within Agile delivery methodologies.
• Strong debugging, optimization, and software development best practices.

Preferred Skills

• Graduate degree or equivalent.

Key Skills

Education

Any Graduate