The Role
Design, build, and optimize Azure data ingestion and transformation pipelines using Azure Data Factory and Dataflows. Develop reusable migration accelerators for Dynamics 365, Dataverse, and Microsoft Fabric; integrate validation, reconciliation, and data-stewardship agents; and deliver analytics solutions using Fabric and Power BI. Implement governance, security, quality, and tracking frameworks with Microsoft Purview while following a 90-day Agile delivery lifecycle and supporting enterprise client deployments.
Summary Generated by Built In
Role Basics
Core Cloud DataMicrosoft Azure Data Factory (ADF) / Dataflows / Azure Data Engineering / Microsoft Fabric / DataverseMust-HaveGovernance & QualityMicrosoft Purview, ISO/IEC 25010 Compliance FrameworksGood-to-HaveAnalytics & BIPower BI, Advanced DAX, Pre-packaged Analytics FrameworksGood-to-HaveAI & LifecycleAgentic Development Lifecycle (AiDLC), Embedded Validation AgentsGood-to-HaveTarget ArchitectureDynamics 365 Core Schemas & Migration APIsPreferredQualifications & Certifications
We are looking for a skilled and driven Data Engineer with 6 to 8 years of experience to join our Architecture & Delivery Team in Kochi on a fully onsite basis. In this role, you will focus heavily on designing, building, and optimizing robust data pipelines using Microsoft Azure Data Factory (ADF) and Dataflows.
Operating under our specialized Agentic Development Lifecycle (AiDLC), you will transition standard data migration and modernization tasks into repeatable, high-margin software products. You will build automated data tools and embed smart, subscription-enabling validation agents into software deployed for our global clients, maintaining strict engineering and security baselines throughout a rapid 90-day deployment lifecycle.
Key ResponsibilitiesPipeline & Product Engineering- Design & Build Pipelines: Develop, orchestrate, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF) and Dataflows.
- Accelerate Migrations: Build automated data solutions and core data assets focusing on the Data Migration Accelerator for Dynamics 365, Dataverse, and Microsoft Fabric.
- Embed Agentic Logic: Develop and integrate intelligent, automated agents (including validation, reconciliation, and data-stewardship agents) within pipelines to shift client value from one-time migration builds to ongoing, subscription-based service models.
- Analytics Delivery: Create and pre-package robust Analytics & Insights Accelerators utilizing Microsoft Fabric and Power BI to maximize day-one reporting capabilities for end-users.
- Data Governance: Implement and enforce native data governance, security baselines, and tracking frameworks seamlessly across environments using Microsoft Purview.
- Agile Delivery: Deliver and deploy all assigned data products utilizing the internal Agentic Development Lifecycle (AiDLC), adhering strictly to a 90-day development-to-production cycle (the "3-month rule").
- Quality Assurance: Ensure all data pipelines and products strictly align with ISO/IEC 25010 software quality standards and pass uncompromising security clearance checks before entering active client environments.
- Education: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
- Experience: 4–6 years of professional data engineering experience, with a heavy emphasis on building cloud data pipelines (ADF/Dataflows), reusable accelerators, or SaaS-based data integrations.
- Mandatory Certification Timeline: Must currently hold, or explicitly commit to achieving, the DP-203 (Azure Data Engineer Associate) or DP-600 (Fabric Analytics Engineer Associate) along with PL-300 (Power BI Data Analyst) certifications by December 2026 to support Softobiz's Solutions Partner for Data & AI designation roadmap.
- Accountability & Drive: High ownership mindset with a proven ability to independently drive complex engineering milestones to completion under 90-day cycles.
- Cross-Border Communication: Strong written and verbal communication skills, with the capability to clearly articulate technical logic, documentation, and product requirements.
- Product-Centric Thinking: Ability to design data flows with modularity and reusability in mind, looking past single-project silos to build scalable platforms.
- Leading-Edge Innovation: Deep, direct engagement with emerging technologies like Agentic AI orchestration, Micro-Agent Architectures, and advanced Microsoft Fabric implementations.
- Global Exposure: Opportunity to contribute directly to data systems deployed for premier enterprise clients across Australia, the US, and India.
- Upskilling & Certification Support: Structured organizational tracking and learning assistance to clear premier Microsoft and Azure technical certifications.
Skills Required
- 4-6 years of professional data engineering experience, especially building cloud data pipelines using Azure Data Factory and Dataflows
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline
- Microsoft Azure Data Factory, Dataflows, Azure data engineering, Microsoft Fabric, and Dataverse experience
- Must currently hold or commit to achieving DP-203 or DP-600 and PL-300 certifications by December 2026
- Microsoft Purview and ISO/IEC 25010 compliance framework experience
- Power BI and advanced DAX experience
- Experience with Agentic Development Lifecycle and embedded validation agents
- Dynamics 365 core schemas and migration APIs experience
- Strong written and verbal communication skills
- Ability to independently drive complex engineering milestones to completion within 90-day cycles
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The Company
What We Do
In the 21st century, where technology brings people together through digitalization; Softobiz Technologies is combining the power of people, technology, and the market to Rethink Transformation & Enterprise Decisions. We are an avant-garde technology leader working at the heart of innovation to deliver cutting-edge technology solutions in digital transformation, product engineering, and cloud services. Our focus is always on accelerating the next age of digitalization by driving world-class product innovation and delivering future-ready solutions to achieve sustainable, operational, and mission-based goals for our client’s businesses.
