Azure data engineer

We are seeking a skilled Azure Data Engineer with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem . The ideal candidate will have a strong foundation in data integration, transformation, and migration , along with a passion for working on complex data migration projects . Job Title: Azure Data Engineer Location: Remote work Work Timings: 5:00 PM to 2:00 AM IST No of Openings: 2 Please Note: This is a pure Azure-specific role . If your expertise is primarily in AWS or GCP , we kindly request that you do not apply . Roles and responsibilities: Lead the migration of large-scale SQL workloads from on-premise environments to Azure, ensuring high data integrity, minimal downtime, and performance optimization. Design, develop, and manage end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes. Build and administer scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration. Utilize Azure Databricks , Synapse Spark Pools , Python , and Py Spark for advanced data transformation and processing. Develop and fine-tune SQL/T-SQL scripts for data extraction, cleansing, transformation, and reporting in Azure SQL Database , SQL Managed Instances , and SQL Server . Design and maintain ETL solutions using SQL Server Integration Services (SSIS) , including reengineering SSIS packages for Azure compatibility. Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach. Continuously monitor and optimize data workflows for performance, reliability, and cost-effectiveness across Azure platforms. Enforce best practices in data governance, security, and compliance throughout the migration lifecycle. Required Skills and Qualifications: 3+ years of hands-on experience in data engineering , with a clear focus on SQL workload migration to Azure . Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and Py Spark, SQL SSIS – design, development, and migration to Azure Proven track record of delivering complex data migration projects (on-prem to Azure, or cloud-to-cloud). Experience re-platforming or re-engineering SSIS packages for Azure Data Factory or Azure-SSIS Integration Runtime. Microsoft Certified: Azure Data Engineer Associate or similar certification preferred. Strong problem-solving skills, attention to detail, and ability to work in fast-paced environments. Excellent communication skills with the ability to collaborate across teams and present migration strategies to stakeholders. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage Do D 2024 Symposium and a lot more exciting stuff While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - Let's explore further Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. App Mod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands 3. Computer Vision. AI : Our Computer Vision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 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