Technical Architect

• 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 Benefits
• Courses and conferences.
• Attractive Salary.
• Hybrid work culture.