Description

You design and implement big data engineering solutions within the Azure ecosystem, owning the full lifecycle from analysis to production support.

This role is on-site.

Responsibilities

• Develop and optimize Azure Databricks solutions and ETL pipelines using Azure Cloud services.
• Manage DevOps and CI/CD deployment workflows for data ingestion and analytical pipelines.
• Convert business challenges into secure, scalable technical solutions.
• Optimize model code for faster execution and improved performance.
• Implement enterprise-grade solutions using software development best practices and Agile methodologies.

Required Skills

• 3 to 7 years of experience developing data ingestion, processing, and analytical pipelines.
• Hands-on experience with Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, and Azure SQL DB.
• Proficiency in Python and PySpark.
• Strong expertise in SQL and procedural SQL languages.
• Solid understanding of Data Warehouse (DWH) concepts and Snowflake implementation.
• Experience with DevOps and CI/CD deployment workflows.
• Degree in Computer Science or an equivalent field.

Preferred Skills

• Experience in the Banking and Capital Markets domains.

Key Skills

Education

Any Garduate