Ukraine Job Openings
Capgemini Engineering
Data Engineer (Databricks/Python, Ukraine)
October 21, 2024
- Responsibilities:
- Develop and manage data pipelines using Azure Data Factory (ADF).
- Process, transform, and optimize data with Databricks, Python, and SQL.
- Collaborate with Product Owners and Tech Leaders to implement data solutions during agile sprints.
- Store and organize data in Azure Storage Accounts.
- Automate workflows to enhance data ingestion and processing efficiency.
- Document processes and implement best practices across the data pipeline.
- Required Skills:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum of 2 years of experience with Azure Data Factory (ADF) for orchestrating data pipelines.
- Proficiency in Databricks, Python, and SQL.
- Familiarity with Azure Dev Ops and data formats like Parquet.
- Understanding of data transfer protocols such as SFTP.
- Experience working in agile teams using Scrum methodologies.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- English proficiency at B2 level or higher.
- Nice to Have:
- Experience with data integration or ETL tools such as Informatica Power Center, Talend, SSIS, Nifi or similar platforms.
- Knowledge of ingesting data from SAP R/3 systems via IDocs.
- Familiarity with tools like Jira, Confluence, and schedulers like Control-M.
- Understanding of data security practices in cloud environments.
- Additional Skills:
- Strong communication and collaboration abilities.
- Proactive in documenting and improving data workflows.
- Team-oriented with a commitment to excellence.
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