Senior Data Engineer

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    "ExternalDescriptionStr": "<p><strong>Ciklum</strong> is looking for a <strong>Senior Data Engineer</strong> to join our team full-time in the US .</p>\n<p>We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</p>\n<p><strong>About the role:</strong></p>\n<p>As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p>\n<p>We are seeking a highly motivated and hands-on Full Stack Data Engineer with strong experience in Microsoft Fabric and modern Azure-based data platforms. The ideal candidate should be capable of working across the full stack of data engineering — from ingestion and transformation to Gold-layer curation, analytics enablement, API integration, and AI-assisted application workflows.</p>\n<p>This role requires engineers who can work independently, leverage AI-assisted development for rapid delivery, and collaborate across data, cloud, and lightweight application layers. Exposure to MCP (Model Context Protocol), ReactJS integration, and modern AI-enabled engineering practices is highly preferred.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n <li>Fabric Ecosystem &amp; Full Stack Data Engineering\n  <ul>\n   <li>Manage OneLake structures and shortcuts for scalable enterprise data access</li>\n   <li>Design scalable Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold)</li>\n   <li>Build and optimize Delta Lake tables for analytics, reporting, and AI workloads</li>\n   <li>Develop data pipelines using Fabric Data Factory, Spark, and Notebooks</li>\n   <li>Create ingestion and transformation workflows for structured and semi-structured data</li>\n   <li>Implement orchestration, scheduling, monitoring, and recovery for enterprise pipelines</li>\n   <li>Design dimensional models (Star/Snowflake schemas) for BI and semantic layers</li>\n   <li>Build curated Gold-layer datasets for analytics and AI consumption</li>\n   <li>Support integration with Power BI semantic models and reporting platforms</li>\n  </ul></li>\n <li>Azure, Integration &amp; Full Stack Development\n  <ul>\n   <li>Develop batch and incremental pipelines across Azure and external systems</li>\n   <li>Orchestrate ETL/ELT workflows using Fabric Pipelines and Azure Data Factory</li>\n   <li>Integrate Fabric platforms with APIs, AI services, and enterprise applications</li>\n   <li>Support MCP integration, AI workflows, and rapid prototyping initiatives</li>\n   <li>Collaborate on ReactJS-based apps, dashboards, and AI-driven user experiences</li>\n   <li>Automate workflows using Azure Functions, Logic Apps, Git, CI/CD, and Azure DevOps</li>\n  </ul></li>\n <li>Data Processing, Optimization &amp; AI-Assisted Development\n  <ul>\n   <li>Develop and optimize PySpark notebooks for transformation, cleansing, and enrichment</li>\n   <li>Build efficient SQL queries, views, and stored procedures in Fabric Warehouse / Azure SQL</li>\n   <li>Implement optimization techniques including partitioning, caching, and query tuning</li>\n   <li>Monitor pipeline performance, troubleshoot failures, and improve system reliability</li>\n   <li>Implement logging, alerting, and operational best practices</li>\n   <li>Utilize AI-assisted development tools such as GitHub Copilot and modern AI coding assistants</li>\n   <li>Rapidly prototype and deliver scalable engineering solutions with minimal guidance</li>\n  </ul></li>\n <li>Governance, Security &amp; Collaboration\n  <ul>\n   <li>Implement RBAC and secure data access across Fabric workspaces and Azure environments</li>\n   <li>Apply data quality validations and governance best practices</li>\n   <li>Support metadata management and lineage using Microsoft Purview</li>\n   <li>Collaborate with Data Architects, Analysts, BI Developers, Product Teams, and Business Stakeholders</li>\n   <li>Translate business requirements into scalable data and application solutions</li>\n   <li>Participate in Agile delivery processes, code reviews, and pull request workflows</li>\n  </ul></li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n <li>6 years in Data Engineering</li>\n <li>Hands-on exposure to Microsoft Fabric (preferred) or strong Azure Data Engineering background with willingness to learn Fabric</li>\n <li>Microsoft Fabric (Data Factory, OneLake, Synapse Data Engineering – basics)</li>\n <li>Azure Data Services: ADLS Gen2, Azure SQL, Blob Storage</li>\n <li>Strong SQL (joins, aggregations, performance tuning basics)</li>\n <li>Python (PySpark) for data transformation</li>\n <li>Azure Data Factory / Fabric Pipelines</li>\n</ul>\n<p><strong>Desirable:</strong></p>\n<ul>\n <li>Azure Functions / Logic Apps</li>\n <li>Event Hubs / streaming concepts</li>\n <li>Microsoft Purview (basic exposure)</li>\n <li>Cosmos DB</li>\n</ul>\n<p><strong>What`s in it for you?</strong></p>\n<ul>\n <li>Strong community: Work alongside top professionals in a friendly, open-door environment</li>\n <li>Growth focus: Take on large-scale projects with a global impact and expand your expertise</li>\n <li>Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li>\n <li>Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li>\n <li>Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans</li>\n</ul>\n<p><strong>About us:</strong></p>\n<p>At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p>\n<p>Want to learn more about us? Follow us on <a href=\"https://www.instagram.com/ciklum/\" target=\"_blank\">Instagram</a>, <a href=\"https://www.facebook.com/Ciklum/\" target=\"_blank\">Facebook</a>, <a href=\"https://www.linkedin.com/company/ciklum/\" target=\"_blank\">LinkedIn</a>.</p>\n<p><strong>Explore, empower, engineer with Ciklum!</strong></p>\n<p>Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.</p>\n<p>#LI-AV3</p>",
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