Senior Data Engineer (Microsoft Fabric)

Cyncly; Ernakulam; Hybrid; INR 1,200,000 - 2,500,000; Full time

Job summary

Cyncly is seeking a Senior Data Engineer in Kochi (Hybrid) to design and optimize analytical solutions using Microsoft Fabric, Azure SQL, and OneLake. You will transform complex datasets from GitHub Enterprise and Azure DevOps into actionable insights for engineering teams.

You will collaborate with DevOps, platform engineers, and leadership to drive data-driven decisions, build scalable data models, and deliver robust dashboards with Power BI.

Qualifications

• 10+ years of experience in data engineering or analytics architecture.
• Strong hands-on experience with Microsoft Fabric (Data Engineering, Data Factory, Lakehouse, Warehouse, Real-Time Analytics), Azure SQL, and OneLake.
• Experience with CI/CD for data assets.
• Proficiency in Python, SQL, and data transformation frameworks.
• Experience in developing engineering KPIs, productivity metrics, and platform telemetry analysis.
• Excellent communication and cross-functional leadership skills.
• Experience with DevOps toolchain data extraction from GitHub Enterprise APIs and Azure DevOps Analytics API (preferred).
• Hands-on experience with Power BI (DAX, Power Query, semantic models) (preferred).
• Certifications in Azure Data Engineering, Microsoft Fabric, or Power BI (preferred).

Responsibilities

• Data Architecture & Modeling: design data models aligned with medallion architecture and develop scalable semantic models using Fabric and Power BI.
• Platform Engineering & Data Pipelines: build and maintain data ingestion pipelines from internal platforms like Azure DevOps and GitHub Enterprise; implement CI/CD for data workflows.
• Performance & Cost Optimization: tune Fabric pipelines, Power BI models, and Azure SQL workloads; apply cost governance.
• Engineering Metrics & Reporting: develop KPI frameworks for deployment frequency, lead time, MTTR, and code activity; create dashboards with Power BI and Fabric.
• Stakeholder Collaboration: partner with DevOps, platform engineering, and product teams; provide technical leadership and mentoring.

Skills

Data engineering

Python

SQL

Power BI

Fabric

OneLake

Azure SQL

DevOps workflows

GitHub Enterprise APIs

Data modeling

Education

Bachelor’s degree in a related field

Tools

Microsoft Fabric

Azure SQL

OneLake

Power BI

Azure DevOps

GitHub Enterprise

Job description

Job Title: Senior Data Engineer
Location: Kochi, India (Hybrid)
Permanent – Full Time

About Us

Cyncly is a global technology powerhouse with 2,400+ employees and 70,000+ customers across 100+ countries. Cyncly transforms the way customizable products and spaces are imagined, designed, sold, managed and made. Our end-to-end software solutions connect professional designers, retailers and manufacturers to the world's largest repository of product content. Today, our business spans across the Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries with operations in North & South America, Europe, Asia Pacific and Africa.

Cyncly brings over 30 years of experience to deliver more value for our customers through an expanded portfolio of end-to-end solutions. Our global presence allows us to provide world-class support and sales with a local touch, providing the best possible customer experience.

Cyncly is now embarking on an exciting journey as we continue to expand through strong organic growth and complementary acquisitions, backed by leading growth private equity firms specialised in technology.

About The Role

We are seeking an experienced Senior Data Engineer with deep expertise in Microsoft Fabric, Power BI, Azure SQL, and OneLake. As part of our data engineering organization, you will design, build, and optimize analytical solutions and dashboards that power decision‑making across engineering teams.

You will work closely with DevOps, platform engineers, and leadership to transform complex datasets—including data from GitHub Enterprise and Azure DevOps—into actionable insights. A strong understanding of engineering metrics, developer productivity analytics, and data-driven performance measurement is essential.

Availability from 12:30 pm IST to 9:30 pm IST is a requirement for this role.

Main Responsibilities

Data Architecture & Modelling

• Design and implement data models aligned with medallion architecture (Bronze, Silver, Gold).
• Develop scalable semantic models for analytics and reporting using Microsoft Fabric and Power BI.
• Maintain high data quality, documentation, and lineage across OneLake-based architectures.

Platform Engineering & Data Pipelines

• Build, optimize, and maintain data ingestion pipelines from internal engineering platforms such as Azure DevOps and GitHub Enterprise
• Implement CI/CD best practices for data workflows using Azure DevOps Repos/Pipelines.

Performance & Cost Optimization

• Conduct performance tuning of Fabric pipelines, Power BI models, and Azure SQL workloads.
• Implement cost governance strategies using Fabric monitoring and capacity management tools.

Engineering Metrics & Reporting

• Develop robust metric frameworks for engineering productivity, including deployment frequency, lead time, MTTR, code activity, and quality indicators.
• Create high-impact dashboards and reports using Power BI and Fabric Real-Time Analytics.

Stakeholder Collaboration

• Partner with DevOps, platform engineering, and product teams to define data needs and deliver insights.
• Provide technical leadership, mentorship, and guidance to junior engineers.

Required Skills and Experience

• 10+ years of experience in data engineering or analytics architecture.
• Strong hands‑on experience with Microsoft Fabric (Data Engineering, Data Factory, Lakehouse, Warehouse, Real‑Time Analytics), Azure SQL, and OneLake.
• Experience with CI/CD for data assets.
• Proficiency in Python, SQL, and data transformation frameworks.
• Experience in developing engineering KPIs, productivity metrics, and platform telemetry analysis.
• Excellent communication and cross‑functional leadership skills.
• Experience with DevOps toolchain data extraction from GitHub Enterprise APIs and Azure DevOps Analytics API (preferred).
• Hands‑on experience with Power BI (DAX, Power Query, semantic models) (preferred).
• Certifications in Azure Data Engineering, Microsoft Fabric, or Power BI (preferred).

Working For Us

At Cyncly, we call our team OneCyncly, a reflection of how we work together as one, united by our purpose: powering businesses that bring spaces to life. Our strength comes from our diversity of experiences, perspectives, and skills - and we thrive when we work together with openness, trust, and respect.

Here, you’ll join a group of colleagues who take ownership, solve problems, and focus on making an impact. We embrace curiosity, welcome new ideas, and see mistakes as opportunities to learn. You’ll have the freedom to work flexibly and autonomously, supported by teammates and leaders who are committed to your growth.

We celebrate the different ways people contribute and encourage everyone - from every background - to bring their authentic self to work. Because when we collaborate, challenge each other, and share what we know, we build something better together.

If you want to work in a place where your ideas matter, your growth is valued, and your work shapes the spaces people live, work, and play in - come join us.