Tasq Staffing Solutions, Inc.
Technology
AssistantManager-Microsoft-Data&AI(DataEngineering)
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optimal for Manager candidates.
“Assistant Manager - Microsoft - Data & AI (Data Engineering) at Tasq Staffing Solutions, Inc.. Skills: Data Engineering, Microsoft Azure, Data Pipelines, ETL. Design scalable data solutions. Build scalable data solutions”
Industry & Context.
Troubleshoot data workflows; Optimize data workflows; Performance optimization
What They're Looking For.
Must Have
Graduate or postgraduate, 7 - 10 years hands-on experience, Bachelor's degree in Computer Science, Demonstrated leadership capabilities, Stakeholder management capabilities, Proposal/RFP support, Experience leading data engineering teams, Experience delivering client-facing consulting engagements, Expertise in designing data pipelines, Expertise in building data pipelines, Expertise in data analytics pipelines, Experience with Azure ETL, Experience with Data modelling, Experience with data processing services, Experience with Azure, Experience with Big Data technologies, Experience with RDBMS, Experience with big data file formats, Experience with compression techniques, Experience with CI/CD, Experience with development tools
Nice to Have
Technical leadership experience, Solution architecture experience, Designing Azure data platforms, Delivering client-facing demos, Delivering client-facing presentations, Business communication skills, Designing scalable ETL solutions, Deploying scalable ETL solutions, Experience with Microsoft Fabric, Experience with Medallion Architecture, Experience with metadata-driven ingestion, Experience with data quality frameworks, Experience with SCD Type 1, Experience with SCD Type 2, Exposure to Microsoft Copilot, Exposure to Generative AI, Proficiency in Data modelling, Building large scale Datawarehouse design, Proficiency in Power BI, Solid knowledge of Azure RBAC, Solid knowledge of IAM, Solid knowledge of data security, Solid knowledge of compliance practices, Experience with data governance, Experience with performance optimization, Experience with Azure DevOps, Experience with Git, Mentoring teams, Alignment with Microsoft's data and AI, Cross-cloud experience, Hybrid experience
What You'll Do.
Design scalable data solutions
Build scalable data solutions
Maintain scalable data solutions
Presales support for bids
Develop data pipelines
Manage data pipelines
Implement data security controls
Implement data governance controls
Implement data privacy controls
Monitor data workflows
Troubleshoot data workflows
Optimize data workflows
Optimize data storage
Optimize data processing
How You'll Work.
Team & Collaboration
Client-facing consulting engagements; Client-facing demos; Client-facing presentations; Mentoring teams
Communication Scope
Business communication; Client-facing demos; Client-facing presentations
Full Job Description
**Roles & responsibilities** * Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs. * Presales support to help KPMG bid for modern data platforms projects. * Develop and manage data pipelines for ingesting, transforming, and integrating data from multiple sources. * Implement data security, governance, and privacy controls across Azure data platforms. * Monitor, troubleshoot, and optimize data workflows to ensure reliability, performance, and cost efficiency. * Optimize data storage and processing solutions by leveraging Azure best practices and services * An Azure Data Engineer is responsible for designing, building, and maintaining scalable data framework on the Azure data requirements. The role involves developing and managing end‑to‑end data pipelines, integrating data from multiple sources, and ensuring reliable data ingestion, transformation and processing using pyspark. The Azure Data Engineer also implements data security, privacy, and governance controls, monitors and troubleshoots data workflows, and continuously optimizes data storage and processing to achieve high performance and cost efficiency across Azure data platforms **Educational qualifications ** * Graduate or postgraduate in Computer Science Engineering Specialization. **Work experience** * 7 - 10 years hands-on experience in software development with significant focus on Azure Data Engineering **Mandatory technical & functional skills** * Bachelor’s degree in Computer Science or related field, or equivalent experience (10+ years), with demonstrated leadership and stakeholder management capabilities, including proposal/RFP support. * Strong experience leading and managing data engineering teams and delivering client‑facing consulting engagements on Azure data platforms (5+ years). * Proven expertise in designing and building data ingestion, processing, and analytics pipelines across SQL Server, Azure Synapse, Azure Databricks, and Microsoft Fabri
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