Overview

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 this role you will focus heavily on designing building and optimizing robust data pipelines using Microsoft Azure Data Factory (ADF) and Dataflows.

Responsibilities

• 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.

Qualifications

• DomainSkills & TechnologiesMust / Preferred
• Core Cloud DataMicrosoft Azure Data Factory (ADF) / Dataflows / Azure Data Engineering / Microsoft Fabric / DataverseMust-Have
• Governance & QualityMicrosoft Purview ISO/IEC 25010 Compliance FrameworksGood-to-Have
• Analytics & BIPower BI Advanced DAX Pre-packaged Analytics FrameworksGood-to-Have
• AI & LifecycleAgentic Development Lifecycle (AiDLC) Embedded Validation AgentsGood-to-Have
• Target ArchitectureDynamics 365 Core Schemas & Migration APIsPreferred
• Education: Bachelors degree in Computer Science Information Technology Software Engineering or a related technical discipline.
• Experience: 46 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 Softobizs 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: Solid 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.

Benefits

• 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.