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Salary
$27k – $53k per year (Estimated)
Location
In office (Kochi)
Seniority
Senior · 10+ years exp
Overview
Company
Impact
Profile match
Cyncly was created in September of 2022 as the new brand to unite Compusoft, 2020 and their affiliate companies after the two companies merged in 2021. The combined group created a global software powerhouse with more than 2,300 employees and 70,000+ customers across 100+ countries. Our company brings the best together, providing specialized visualization, sales, manufacturing and content solutions for customers wanting to bring spaces to life and bring life to spaces.

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.

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