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
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
Graduate in Computer Science, Data Science, or related field. 6+ years of experience in data engineering or related field.
Skills Required
- 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 across full development lifecycle from design to production deployment
- Ability to support production-grade reporting and dashboards (Tableau / Power BI)
- Graduate in Computer Science, Data Science, or related field
- 6+ years of experience in data engineering or related field
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
