DTICI_SalesProductServices_DataEngineer_T9

Posted yesterday

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 strong 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.

Skills