GCP Data Engineer

EXL; Gurugram District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EXL is seeking two experienced GCP-focused Data Engineer / Platform Engineers to design, build, and scale data platforms on GCP, with hands-on work on end-to-end pipelines and control frameworks. The role emphasizes deriving actionable insights from data and collaborating with business, risk, operations, and technology teams.

The candidates will implement data models and ETL/ELT workflows using Python and SQL, support dashboards via Tableau or Power BI, and ensure data quality and performance

Qualifications

• 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).

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

Data pipelines

Python

SQL

BigQuery

ETL/ELT

Pandas

PySpark

Tools

Tableau

Power BI

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.

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