Azure Data Engineer

Azure Data Engineer

We are looking for a proficient Azure Data Engineer to design, build, and maintain scalable data pipelines and architectures on the Azure cloud platform. The ideal candidate will have hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake. You will collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, performant data solutions that enable data-driven decision-making.

Key Responsibilities

Design, develop, and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.

Build scalable data solutions using Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads.

Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.

Write efficient, reusable, and maintainable code primarily in Python and SQL to transform and load data across various systems.

Collaborate with cross-functional teams including data scientists, analysts, and business users to gather requirements and deliver data solutions that meet business needs.

Monitor data pipeline performance and implement improvements for reliability, scalability, and optimization.

Ensure data quality, governance, and compliance within all data engineering efforts.

Troubleshoot and resolve data-related issues, working closely with cloud infrastructure and platform teams.

Document data architecture, workflows, and processes to support ongoing maintenance and knowledge sharing.