11 days ago
Yerevan, ArmeniaSenior
Responsibilities
- Identify and troubleshoot root causes of failures in Azure Data Factory pipelines.
- Review monitoring reports and create User Stories or PBIs for required resolutions.
- Monitor Databricks jobs and Azure Data Factory pipelines.
- Develop and maintain data pipelines and ETL/ELT processes using Azure services, Python, and Spark.
- Collaborate with data analysts, data scientists, and business stakeholders to support accessible and reliable data.
- Focus on system maintenance and pipeline reliability.
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, particularly 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.