1 month ago
Yerevan, ArmeniaSenior
Responsibilities
- Identify and troubleshoot root causes of failures in Azure Data Factory pipelines.
- Review monitoring reports, identify issues, and create User Stories or PBIs for resolution.
- Monitor Databricks jobs and Azure Data Factory pipelines.
- Work with Azure Cloud Services, Azure Data Factory, Python, and Spark using Azure Databricks.
- Support scalable data pipelines and ETL/ELT processes for analytics and reporting.
- Focus on system maintenance and collaborate with analysts, data scientists, and business stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- At least 3 years of experience in data engineering or a related role.
- Proficiency in Python.
- Strong understanding of ETL and ELT processes.
- Experience with Azure Cloud Services, especially Azure Data Factory.
- Ability to review monitoring reports and create PBIs for necessary fixes.
- Preferred: Azure certifications such as Azure Data Engineer Associate.
- Preferred: experience with Databricks, Power BI, or Azure DevOps.
- Preferred: experience working in Agile/Scrum environments.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.