Azure Data Engineer

Must Have Skills*
Azure Databricks (strong expertise)
Snowflake
SQL (strong expertise)

Requirements:
5–8 years of experience in data engineering or a related role.
Advanced proficiency in SQL for complex data transformation and analysis.
Hands-on experience with cloud-based data platforms such as Databricks, Snowflake, or similar tools.
Experience with ETL/ELT tools and frameworks (e.g., Informatica, Talend, dbt, or equivalent).
Strong proficiency in Python and/or PySpark for data processing and pipeline development.
Strong understanding of data modeling, database design principles, and building curated datasets for analytics and operational use cases.
Experience with DevOps practices and Git-based development (branching strategies, pull requests, code reviews).
Experience implementing CI/CD for data pipelines/workflows and managing deployments across environments.
Familiarity with orchestration and workflow tools (e.g., Databricks Workflows, Airflow, or similar) is preferred.
Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation) and/or containerization concepts is a plus.
Strong problem-solving skills, attention to detail, and ability to troubleshoot complex issues end-to-end.
Excellent communication skills and ability to collaborate across technical and non-technical teams.