Sr Data Engineer - ETL,PowerBI & Go
Location: Hyderabad
Time Type: Full time
Job Description
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 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?
- 5+ 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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