- Provide technical leadership and mentorship to a team of data engineers.
- Collaborate with stakeholders to define project requirements and deliverables.
- Ensure best practices in data security, governance, and compliance.

Requirements:

- 10+ years of experience in working on Azure Databricks or Apache Spark-based platforms.
- Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion.
- Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, or Azure SQL Data Warehouse.
- Proficiency in programming languages such as Python, Scala, PYpark, Spark-SQL for data processing and transformation.
- Exposure to CI/CD pipelines, version control (Git/Azure DevOps), and data quality is a plus.
- Must have experience of working with streaming data sources and Kafka (preferred).

Our Offering:

- Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment.
- Wellbeing programs & work-life balance - integration and passion sharing events.
- Attractive Salary and Company Initiative Advantages
- Courses and conferences.
- Attractive Salary.
- Hybrid work culture.

📌 Technical Architect (Pune)
🏢 Eviden
📍 Pune