GCP Data Engineer

ExlService Holdings, Inc.; Gurgaon; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ExlService Holdings, Inc. in Gurgaon, India seeks two experienced GCP-focused Data Engineer / Platform Engineers to design and scale data platforms.

You will build end-to-end data pipelines and control frameworks, deriving actionable insights from data. You will work across the full development lifecycle, using Python (PySpark, Pandas) and SQL with BigQuery, contributing to data quality, performance, and data-driven reporting.

Qualifications

• Deep expertise in GCP architecture, services and scalable system design.
• Strong software engineering with data platforms and distributed systems.
• Proven experience building large-scale data pipelines and distributed systems.
• Strong programming in Python (PySpark, Pandas) and SQL.
• Experience with BigQuery and GCP-native data services.
• Solid understanding of data modeling, optimization, ETL/ELT.
• Hands-on across full development lifecycle from design to deployment.
• Good-to-have: deriving analytical insights for business decisions.
• Good-to-have: GenAI or AI-driven workflows experience.

Responsibilities

• Design, build, and scale data platforms and pipelines on GCP, leveraging services such as BigQuery and related ecosystem tools
• Own and contribute to end‑to‑end development lifecycle—from requirements to production deployment and optimization
• Develop robust, scalable workflows for data ingestion, transformation, and processing
• Implement and optimize data models, pipelines, and transformations using Python (Pandas, PySpark) and SQL
• Build and operationalize analytical datasets to support reporting and downstream use cases
• Establish and enhance data control frameworks using a mix of enterprise tools and custom solutions
• Collaborate with cross‑functional teams (business, risk, operations, technology) to translate requirements into scalable solutions
• Ensure data quality, validation, and performance optimization across pipelines and workflows
• Support production‑grade reporting and dashboards (Tableau / Power BI) and enable data‑driven decision‑making

Skills

GCP architecture

Data platform development

Distributed systems

Python (PySpark, Pandas)

SQL

BigQuery

ETL/ELT frameworks

Full lifecycle design to deployment

Job description

Job Summary

We are looking for 2 experienced GCP-focused Data Engineer / Platform Engineers with strong engineering depth and hands‑on experience building scalable data platforms. The role requires expertise in designing and implementing end‑to‑end data pipelines and control frameworks, with the ability to derive actionable insights from data.

Core Responsibilities

• Design, build, and scale data platforms and pipelines on GCP, leveraging services such as BigQuery and related ecosystem tools
• Own and contribute to end‑to‑end development lifecycle—from requirements to production deployment and optimization
• Develop robust, scalable workflows for data ingestion, transformation, and processing
• Implement and optimize data models, pipelines, and transformations using Python (Pandas, PySpark) and SQL
• Build and operationalize analytical datasets to support reporting and downstream use cases
• Establish and enhance data control frameworks using a mix of enterprise tools and custom solutions
• Collaborate with cross‑functional teams (business, risk, operations, technology) to translate requirements into scalable solutions
• Ensure data quality, validation, and performance optimization across pipelines and workflows
• Support production‑grade reporting and dashboards (Tableau / Power BI) and enable data‑driven decision‑making

Must‑Have Skills

• Deep expertise in GCP (architecture, services, and scalable system design)
• Strong software engineering and development experience across data platforms
• Proven experience building large‑scale data pipelines and distributed systems
• Strong programming skills in Python (PySpark, Pandas) and SQL
• Experience with BigQuery and GCP‑native data services
• Solid understanding of data modeling, optimization, and ETL/ELT frameworks
• Hands‑on experience working across the full development lifecycle (design to deployment)

Good‑to‑Have Skills

• Ability to derive analytical insights and support business decision‑making
• Experience with GenAI implementations or AI‑driven workflows
• Exposure to data governance and control frameworks
• Experience integrating external data sources via APIs
• Familiarity with web scraping