As a Cloud AI Data Engineer, you will design, build, and optimize AI-ready data pipelines across GCP, and Snowflake. You will work closely with data science, engineering, and business teams to integrate structured data, create high-quality synthetic datasets, and support scalable AI solutions through robust ETL pipelines, APIs, and backend workflows. This role requires strong hands-on expertise in cloud-native data engineering, performance tuning, cost optimization, and production-grade data systems that enable advanced analytics and AI use cases.
Responsibilities- Design, build, and maintain scalable AI-ready data pipelines across GCP, and Snowflake.
- Develop and optimize ETL workflows to ingest, transform, validate, and integrate structured data for analytics and AI solutions.
- Create and curate synthetic datasets that reflect real-world data patterns, edge cases, and business scenarios for AI model development and testing.
- Build APIs and backend workflows to enable seamless data access, integration, and orchestration for AI-driven applications.
- Collaborate with data scientists, ML engineers, product teams, and business stakeholders to understand data requirements and deliver reliable data solutions.
- Implement monitoring, quality checks, automation, and CI/CD practices to improve reliability, scalability, and operational efficiency.
- Optimize pipeline performance, storage, compute usage, and cloud costs across modern data platforms.
- 3–6 years of hands-on experience in data engineering, ETL development, and cloud-based data platforms.
- Strong experience building AI-ready data pipelines across GCP, and Snowflake.
- Expertise in designing and generating synthetic datasets that capture real-world patterns, anomalies, and edge cases.
- Strong hands-on experience with ETL pipelines, structured data integration, data modeling, and data quality frameworks.
- Proficiency in Python, SQL, and cloud-native services for building scalable and production-ready data systems.
- Experience developing APIs, backend services, and workflow orchestration components that support AI and analytics solutions.
- Good understanding of performance tuning, pipeline scalability, cost optimization, and cloud resource management.
- Familiarity with CI/CD, version control, monitoring, logging, and automation practices in data engineering environments.
- Strong communication skills with the ability to work effectively with technical teams, business stakeholders, and client-facing groups.
Skills Required
- 3-6 years hands-on experience in data engineering, ETL development, and cloud-based data platforms
- Strong experience building AI-ready data pipelines across GCP and Snowflake
- Expertise in designing and generating synthetic datasets capturing real-world patterns and edge cases
- Hands-on experience with ETL pipelines, structured data integration, data modeling, and data quality frameworks
- Proficiency in Python
- Proficiency in SQL
- Experience developing APIs, backend services, and workflow orchestration components
- Understanding of performance tuning, pipeline scalability, cost optimization, and cloud resource management
- Familiarity with CI/CD, version control, monitoring, logging, and automation practices in data engineering
- Strong communication skills to work with technical teams, product stakeholders, and clients
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.
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