8+ years of experience in data development and leading teams on Azure ingestion pipelines.
Strong ETL knowledge and experience in data projects.
Proficient in Azure data storage environments including Data Lake and Azure SQL Database.
Familiar with relational and dimensional data models.
Experience with testing methodologies such as TDD and automated testing.
Skilled in source control and deployment using GitHub and CI/CD tools.
Knowledge of Power BI components and architecture patterns.
Responsibilities
Lead the ingestion POD for the CDAC project, integrating legacy systems with a new group insurance system.
Build complex components and configure ingestion pipelines in an Azure environment.
Support and coordinate developers throughout the project lifecycle.
Validate infrastructure configurations and ensure compliance with security models.
Refactor code and manage branches and promotions with other PODs.
Ensure timely delivery of project milestones in a schedule-driven context.
Benefits
Opportunity to work on cutting-edge Azure cloud technologies.
Collaborative environment with a focus on team leadership and development.
Exposure to complex data integration projects.
Professional growth through hands-on experience with advanced data practices.
Engagement in a structured, standardized process-driven environment.
Full Job Description
Job Description Mandate Overview:
The Tech Lead leads the ingestion POD of the CDAC project, which integrates several legacy systems and the new group insurance system into an Azure cloud environment, exposed to users through Power BI. He builds the complex components, configures ingestion pipelines and takes part in data loading, while supporting and coordinating developers. Technical governance is explicit: validating infrastructure configurations (repo, ingestion and enrichment framework, Synapse and SQL databases, gateways, MFT flows, file servers), validating access against the security model, refactoring, and coordinating branches and promotions with the other PODS. The context is strongly schedule-driven, and the targeted seniority is 8 years and more.
Target candidate: a senior data developer, 8+ years, who has led a development team on Azure ingestion pipelines (Data Factory, Data Lake, Synapse) in a large organization while remaining the main code contributor. He shows tooled quality practices (TDD, automated testing, CI/CD) and command of production releases in an environment with standardized processes.
Requirements
Required:
Excellent ETL knowledge
Experience in data projects
Azure data storage environments (Data Storage, Data Lake, Blob Storage, Azure Data Factory, Azure SQL Database, Synapse Analytics, Flyway)
Relational and dimensional models
Testing approaches: TDD, user interface testing, automated testing, continuous integration
Source control and deployment (GitHub, GitHub Actions, Concourse)
Power BI (Desktop, Service, components including gateway)
