
Lead Data Engineer
2 days ago
We are seeking a highly skilled and experienced Lead Data Engineer to join our team.
The ideal candidate will be a hands-on expert in Microsoft Fabric and the broader Azure data stack, with a proven track record of designing, building, and managing robust data pipelines and analytics solutions.
This role requires a strong leader who can architect scalable data platforms and guide a team to deliver high-quality data products.
Key Responsibilities :
- Lead the design, development, and maintenance of scalable and reliable data pipelines using Microsoft Fabric and Azure Data Factory (ADF).
- Architect and manage a modern data platform, including data ingestion, transformation, and storage within a Data Lake and Lakehouse environment.
- Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Ensure data quality, integrity, and security across the data platform.
- Develop and implement strategies for data governance and compliance.
- Optimize data processing jobs and data storage for performance and cost efficiency.
- Mentor junior data engineers, providing technical guidance and fostering a culture of best practices.
- Create and maintain comprehensive documentation for data pipelines and system architecture.
Technical Skills :
Mandatory Skills :
- Microsoft Fabric : 6 months to 2 years of hands-on, practical experience is highly mandatory.
Azure Stack :
- Expertise with Azure Data Factory (ADF) for ETL/ELT processes.
- Strong experience with Azure Data Lake Storage and its integration with other services.
- In-depth knowledge of Azure Lakehouse architecture and implementation.
- Proficiency with Power BI for data visualization and reporting.
Additional Skills :
- Strong programming skills in languages such as Python or Scala.
- Experience with other Azure services like Azure Databricks, Synapse Analytics, or Azure Functions.
- Knowledge of SQL and experience with various database systems (e.g., SQL Server, PostgreSQL, Cosmos DB).
- Familiarity with version control systems, especially Git.
- Understanding of data modeling, data warehousing, and distributed computing concepts.
Experience and Education :
Experience : A minimum of 8+ years of total experience in a data engineering role.
Education : Bachelor's degree in Computer Science, Information Technology, or a related field
(ref:hirist.tech)
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