- Experienced Data Professional with solid SQL skills, focusing on data integration, quality, and performance.
- Proven ability to write complex SQL logic and optimize performance for large data volumes.
- Hands-on experience with Azure Data Factory (ADF), with a preference for Fabric Data Factory over PaaS ADF.
- Familiarity with orchestration and ETL tools, such as Matillion, is a plus.
- Proficient in designing and implementing data flows using ADF, with experience in Python for enhancing ETL processes.
- Understanding of monitoring, observability, and troubleshooting principles, including restart ability, idempotency, and debugging of ETL pipelines.
- Familiar with version control (Git Hub) and CI/CD practices related to SQL and ETL tools.
- Exposure to public cloud platforms,



particularly Azure, including components like Azure Blob Storage.
- Collaborate closely with business unit partners to transform requirements into effective data solutions, documenting processes and sharing knowledge with junior team members.
- Excellent communication and technical writing skills are essential for effective stakeholder engagement.

Good to Have:

- Advanced Azure certifications.
- Strong analytical skills and experience in performance tuning.

Skill Areas:

- Data Integration, Strong SQL Skills, Performance Tuning, Data Quality.

📌 Senior Data Engineer (Microsoft Azure Certified) (India)
🏢 Macpower Digital Assets Edge Private
📍 India