Job description:

" Design, develop, deploy, and manage data integration solutions using Azure Data Factory. Create data pipelines to move and transform data from various sources to target destinations. Implement data workflows, monitoring, and scheduling using ADF. Develop and deploy scalable data processing and analytics solutions using Azure Databricks. Create and optimize Apache Spark jobs for data transformation, machine learning, and big data processing. Utilize notebooks for data exploration, analysis, and model development. Implement best practices for performance tuning, reliability, and security in Databricks environments."

• To be responsible for providing technical guidance or solutions ;define, advocate, and implement best practices and coding standards for the team.
• To develop and guide the team members in enhancing their technical capabilities and increasing productivity
• To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
• To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.