Azure Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a prominent computer software company known for its innovative solutions and commitment to technological excellence. They operate on a global scale, delivering cutting-edge products and services to a diverse client base. The company fosters a collaborative and dynamic work environment, encouraging continuous learning and professional growth.
About the role.
We are seeking a highly experienced Azure Data Engineer to design, develop, and optimize robust data pipelines and data warehousing solutions. This role involves working with large-scale datasets in a cloud-based environment, focusing on Azure services and modern data transformation tools. The ideal candidate will be instrumental in ensuring data quality, governance, and efficient data delivery to meet business needs.
What you will do.
- Design, build, and maintain scalable ETL/ELT data pipelines using Azure Data Factory (ADF)
- Develop and optimize data transformations using DBT for warehouse-based development
- Write and optimize complex SQL queries for data extraction, transformation, and loading
- Implement custom data transformations and automation scripts using Python/PySpark
- Monitor, troubleshoot, and optimize data pipeline performance, reliability, and scalability
- Ensure data quality, implement data governance standards, and maintain comprehensive documentation and metadata
- Translate business requirements into technical solutions and communicate effectively with stakeholders
- Contribute to CI/CD and DevOps practices for cloud-based data workflows
What you bring.
- 10–20 years of experience in Data Engineering with a strong focus on Azure and cloud-based data environments
- Extensive hands-on experience with Azure Cloud services, particularly Azure Data Factory (ADF)
- Proficiency in Snowflake, including SnowSQL, data warehousing concepts, and handling large-scale datasets
- Strong expertise in SQL for complex queries, data extraction, transformation, and optimization
- Demonstrated experience with DBT for data transformation and warehouse-based development
- Solid programming skills in Python/PySpark for custom data transformations and automation
- Experience with data pipeline optimization, monitoring, and troubleshooting
- Understanding of data governance, data quality, documentation, and metadata management
- Exposure to CI/CD and DevOps principles for cloud-based data workflows
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