• Data Engineering and Analytics Activities including Pipeline Development, Data Analysis, Quality Management, delivery aligned to Agile methodology - Azure, ADF, Databricks, Data Mesh • End to end accountability from requirement elicitation to industrialization • 3-5 years of robust experience in building entrerprise data solutions • 1-2 good Applied AI-oriented Applied Research Projects & Industry Projects applications
- Design, develop, and maintain robust Power BI Dashboard, Apps, ETL/ELT pipelines using tools like Informatica, Apache Spark, or Azure Data Factory.
- Work with structured and unstructured data across cloud (Azure/AWS/GCP) and on-prem systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Optimize data workflows for performance and scalability.
- Implement data governance and security best practices.
- Monitor and troubleshoot data pipeline issues and ensure timely resolution.
- Design, develop, and maintain robust Power BI Dashboard, Apps, ETL/ELT pipelines using tools like Informatica, Apache Spark, or Azure Data Factory.
- Work with structured and unstructured data across cloud (Azure/AWS/GCP) and on-prem systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Optimize data workflows for performance and scalability.
- Implement data governance and security best practices.
- Monitor and troubleshoot data pipeline issues and ensure timely resolution.