Senior Data Engineer - Azure
Fully Remote
5% bonus
We are partnered exclusively with a fast-growing, global leader in business process outsourcing, delivering innovative customer service, seamless supply chain management, cutting-edge digital marketing, and IT solutions to drive success across diverse industries.
They're seeking an Azure-focused Data Engineer with experience in technologies like Azure Synapse, PySpark, ADF, ADLS G2 and Medallion architecture.
You'll lead the design and development of advanced data pipelines and storage solutions, ensuring seamless integration and transformation of data. Collaborating closely with stakeholders, you'll translate business requirements into pioneering technical solutions, championing quality assurance, code reuse, and data governance while mentoring junior team members.
Responsibilities
Architect, design, and develop enterprise-grade data pipelines and data storage solutions.
Implement data integration processes for seamless data flow across systems.
Provision data storage solutions, handling both streaming and batch data.
Lead QA activities to ensure the integrity of data solutions.
Mentor and train junior data engineers to foster knowledge sharing and expertise within the team.
Required Skills
Proven experience as a Senior Data Engineer with 5+ years of industry experience.
In-depth knowledge of modern data architecture concepts and best practices.
Expert-level proficiency in Azure Synapse, Azure Data Factory, Azure SQL Pools, ADLS Gen 2, Purview, and Azure App Service.
Familiarity with Microsoft Fabric is an asset.
Expertise in designing and building robust data pipelines using both batch and streaming ingestion methods.
Strong understanding of Azure DevOps processes (including CI/CD).
Proven experience in common data warehouse modelling principles, including Kimball and OBT.
Proficient in programming languages like Python and SQL/T-SQL.