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This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies.
Job Responsibility:
Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems
Develop and manage Azure-based Data Lakes and associated cloud data services
Lead large-scale data migration projects from on-premise systems to Azure cloud environments
Create scalable data models and curated datasets to support business intelligence and reporting
Ensure data integrity, quality, governance, and security throughout all workflows
Collaborate with technical and business teams to translate requirements into impactful data solutions
Optimize data architectures to improve performance and scalability
Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers
Monitor and troubleshoot data workflows to ensure seamless operations
Requirements:
Minimum of 5 years of experience in data analysis and related fields
Proficiency with ETL tools and orchestration platforms, such as Databricks and Azure Data Factory
Hands-on expertise in Azure Data Lake Storage, Synapse Analytics, and other Azure cloud services
Strong programming skills in Python or PySpark for data transformation tasks
Proven experience migrating large datasets from on-premise systems to cloud environments
Solid understanding of data warehousing, data modeling, and analytics best practices
Familiarity with business intelligence tools like Power BI
Ability to ensure compliance with data governance and security standards
What we offer:
medical, vision, dental, and life and disability insurance