Sr Data Engineer - 6+ Years in ETL, Power BI & Java

Senior Data Engineer – Contact Center & Digital Analytics, Assurant GCC India,

We’re looking for a Senior Data Engineer to design and maintain the data foundations that power contact center and digital interaction analytics. This role sits at the intersection of data engineering and software engineering, supporting operational reporting, automation performance, and data‑driven decision‑making at scale.

You’ll work closely with product, engineering, and analytics partners to deliver trusted datasets, scalable pipelines, and well‑defined metrics.

This position will be in Hyderabad and Bengaluru at our India location.

Work Timings: 3:30 PM IST ~ 12:30 AM IST

What will be my duties and responsibilities in this job?

• Design and maintain data pipelines (ETL/ELT) that transform high‑volume event and interaction data into analytics‑ready datasets
• Build and optimize SQL‑based data models, including star schemas and semantic layers for reporting
• Develop and maintain standardized KPIs and metrics used in operational dashboards
• Support Power BI datasets and reports, ensuring consistency between data models and visualizations
• Investigate data issues in production and partner with engineering teams during releases and incidents
• Contribute to data governance by defining metric definitions, documentation, and data quality checks
• Build supporting services and tooling using Go (or similar backend languages) following modern software engineering practices

What are the requirements needed for this position?

• 8+ years of experience in data engineering or analytics engineering
• Strong SQL skills and experience designing dimensional (star) schemas
• Hands‑on experience building and operating ETL/ELT pipelines
• Experience supporting BI tools such as Power BI
• Proficiency in Go (preferred) or another backend programming language
• Experience working in production environments with real‑time or operational data

What are the preferred skills needed for this position?

• Experience with contact center, IVR, or digital interaction data
• Familiarity with data governance, metric standardization, or semantic modeling
• Experience supporting automation or AI‑driven products

Why Join Us

• Work on data that directly impacts customer experience and operational performance
• High ownership role with real influence on data architecture and standards
• Collaborative, product‑focused engineering culture

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What’s the culture like at Assurant?
Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 14 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.

Company Overview
Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.

AI and Biometric Usage

Assurant supports the responsible use of Artificial Intelligence (AI), but we want to know the real you. Visit our AI Usage Guidelines page to understand what we expect from applicants regarding their use of AI during the application process. Since we would like to know the real you, we require that all of our virtual interviews be conducted on video.

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Equal Opportunity Statement
Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.

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