GCP Data Engineer

EXL is recognized as a global leader in the fields of analytics, artificial intelligence, and digital solutions, catering to a diverse range of industries. As you may know, this company specializes in digital transformation and is publicly traded on NASDAQ under the ticker symbol EXL. With a market valuation of approximately $1.3 billion, EXL boasts a workforce of over 48,000 employees spread across the globe. The company proudly serves more than 800 clients worldwide, demonstrating its extensive reach and influence in the market.

GCP Data Engineer    
Experience:  5 - 9 Years
Location:  Gurgaon
Work Mode:  Hybrid (3 Days Work from Office)
Position Summary
We are seeking a highly skilled  GCP Data Engineer  to design, develop, and maintain scalable data platforms and pipelines on  Google Cloud Platform (GCP) . The ideal candidate should possess strong expertise in  Big Data technologies, Data Warehousing, ETL/ELT development, Cloud Infrastructure, and modern DevOps practices . This role requires close collaboration with business stakeholders, analysts, and engineering teams to build robust data solutions that support business insights and strategic decision-making.
Key Responsibilities

• Design, develop, and optimize scalable data pipelines and data processing frameworks on GCP.
• Build and maintain ETL/ELT workflows for data ingestion, transformation, and delivery across multiple platforms.
• Develop and manage enterprise-scale data warehouses and data marts.
• Design efficient and scalable data models for both OLTP and OLAP environments.
• Implement batch and real-time data processing solutions.
• Ensure data quality, governance, reliability, security, and performance across the data ecosystem.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Implement monitoring, logging, and performance optimization strategies for production data workflows.
• Support CI/CD implementation and DevOps best practices within data engineering projects.
• Continuously evaluate emerging GCP services and industry trends to improve data platform capabilities.

Required Qualifications
1. Core Data Engineering Skills
Big Data & GCP Technologies
Hands-on experience with the following GCP services:

• BigQuery  – Data warehousing, analytics, and SQL-based reporting.
• Dataproc  – Running and managing Spark/Hadoop-based workloads.
• Apache Airflow (Cloud Composer)  – Pipeline orchestration and workflow automation.
• Dataflow  – Batch and stream data processing (good understanding required).
• Pub/Sub  – Real-time messaging and event ingestion (good understanding required).

Data Modeling

• Strong understanding of designing scalable and optimized data models for  OLTP  and  OLAP  systems.
• Experience with dimensional modeling, data warehousing concepts, and data marts.

ETL/ELT Development

• Expertise in building automated, scalable, and reliable ETL/ELT pipelines.
• Experience using  Python ,  Scala , or  Cloud Data Fusion  for data integration and transformation.

2. Programming & Scripting

• Strong proficiency in  Python  and  SQL .
• Exposure to  Java  and/or  Scala  is desirable.
• Experience working with APIs and GCP SDKs to develop custom data engineering solutions.

3. Cloud Infrastructure

• Strong understanding of core GCP services, including:
• Cloud Storage
• Compute Engine
• Cloud Functions
• Experience with containerization and deployment technologies.
• Exposure to  Google Kubernetes Engine (GKE)  is preferred.

4. DevOps & CI/CD

• Experience implementing CI/CD pipelines using:
• Cloud Build
• GitHub Actions
• Similar DevOps tools
• Hands-on experience with monitoring and observability tools such as:
• Cloud Monitoring
• Cloud Logging
• Understanding of production support, deployment automation, and infrastructure best practices.
   

Preferred Skills

• Experience with  Spark ,  Hadoop , and distributed processing frameworks.
• Knowledge of real-time data processing architectures.
• Familiarity with Data Governance, Data Quality, and Security best practices.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile development environments.
   

Must-Have Skills
GCP, BigQuery, Dataproc, Airflow, Python, SQL, ETL/ELT, Data Modeling, Data Warehousing, Cloud Storage, CI/CD .