Job Description

DTICI_SalesProductServices_DataEngineer_T9

• 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.