Data Engineer

About Servify:

Servify is a global product lifecycle management company, operating across 3 continents (in India, North America, Europe and MENA), that focuses on designing as well as administering custom product protection programs and exchange/upgrade programs for carriers, OEM brands, and retailers. We have cultivated a diverse, global client portfolio that includes global fortune 100 companies, OEMs (with more than 87% global mobile phone market share including the likes of Apple and Samsung), and more than 75 other brands to support their product care solutions. Servify protects tens of millions of devices across the globe and supports distribution of device protection products in over 200,000+ retail outlets globally.

POSITION SUMMARY:

Senior Data Engineer

KEY RESPONSIBILITIES:

Pipeline Stabilization & Management:

ETL Architecture Fidelity:

Visualization Migration Lead:

Source System Integration:

Partner Sharing & Security:

Cost & Performance Optimization:

REQUIREMENTS:

1. 5+ years’ experience in building and managing robust data infrastructure.

2.Databricks Mastery: Minimum of 2 years of recent, hands-on production experience in managing jobs, clusters, and data assets within the Databricks environment.

3.Expert proficiency in Python (PySpark) and advanced SQL. You should be comfortable working extensively with Databricks notebooks and terminals.

4.Database Expertise: Proven ability to connect to, query, and efficiently extract large

datasets from PostgreSQL (Postgres DB) & MongoDB (Understanding of NoSQL schema and extraction methods is key).

5.Architecture & Methodology: Practical experience implementing and maintaining the Medallion Data Architecture

6.BI Tool Knowledge: Prior exposure to Tableau is essential for understanding the migration scope, coupled with proven experience developing dashboards in Databricks SQL Analytics/Warehouse.