Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
MA
Hybrid Data Engineer, Microsoft Azure
Posted 4 months ago
About the role
- Data Engineer designing and maintaining data models and pipelines using Azure technologies at Capgemini Engineering. Supporting digital transformation for a recognized leader in beverage and consumer goods industry.
Responsibilities
- Design and implement scalable data models using Azure Synapse Analytics, Delta Lake, and T‑SQL
- Build and maintain ETL/ELT pipelines with Azure Data Factory and Spark (PySpark/Scala/Spark SQL)
- Optimize data refresh cycles using incremental/delta processing strategies
- Integrate CI/CD workflows for data pipelines using GitHub Actions or Azure DevOps
- Define and enforce data quality rules and cleansing logic
- Implement data governance policies and leverage Azure Purview for metadata and lineage tracking
- Manage and optimize storage in Azure Data Lake Storage Gen2
- Monitor performance and set up alerting using App Insights and Log Analytics
Requirements
- Design and implement scalable data models using Azure Synapse Analytics, Delta Lake, and T‑SQL
- Build and maintain ETL/ELT pipelines with Azure Data Factory and Spark (PySpark/Scala/Spark SQL)
- Optimize data refresh cycles using incremental/delta processing strategies
- Integrate CI/CD workflows for data pipelines using GitHub Actions or Azure DevOps
- Define and enforce data quality rules and cleansing logic
- Implement data governance policies and leverage Azure Purview for metadata and lineage tracking
- Manage and optimize storage in Azure Data Lake Storage Gen2
- Monitor performance and set up alerting using App Insights and Log Analytics
- Work with semantic technologies such as RDF mapping, SHACL validation, and Apache Jena
Benefits
- health insurance from the first days, regardless of the probationary period
- Christmas holidays from 25 December to 31 December
- Сooperation with Superhumans center and Veteran HUB
- psychological rehabilitation department of Superhumans
- psychological counseling provided by the Veteran Hub
- internal policy making the company friendly to military and veterans with the assistance of the Hub
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.