EXL

Senior Data Engineer

EXL  •  Pune, IN (Onsite)  •  2 hours ago
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Job Description

  • Design, develop, and maintain scalable and efficient ETL/ELT pipelines using tools such as AWS Glue, DBT, and Airflow.
  • Build and automate event-driven data workflows leveraging AWS Lambda, EventBridge, and related services.
  • Integrate data replication tools like Hevo or Fivetran for seamless ingestion from external systems.
  • Perform data modeling (dimensional and normalized) to support Tableau team and analytics.
  • Manage infrastructure as code using Terraform and automate workflows using GitHub Actions.
  • Optimize and maintain Snowflake data warehouse environments, including performance tuning and data lifecycle management.
  • Use GitHub Actions to deploy DBT projects, manage data pipelines, and automate testing/monitoring tasks.
  • Collaborate with analysts, data scientists, and engineering teams to gather requirements and deliver robust data solutions.
  • Ensure data quality, integrity, and consistency across all systems and processes.
  • Containerize data workflows using Docker for portability and repeatability.
  • Productionalizes SQL queries from data analysts into structured dbt models within the silver/gold layer

Requirements

  • 4–6 years of experience as a Data Engineer or in a similar role.
  • Hands-on experience with AWS data services: Glue, Lambda, EventBridge, S3, IAM, Airflow/MWAA
  • Proficiency in SQL and Python for data manipulation and orchestration.
  • Snowflake data warehouse design and query optimization
  • Solid experience with DBT, Apache Airflow, and Snowflake (or other cloud data warehouses).
  • Experience using GitHub Actions for CI/CD in data workflows.
  • Familiarity with data replication tools such as Hevo or Fivetran.
  • Strong understanding of data modeling principles (e.g., star/snowflake schema).
  • Prior experience in eCommerce, retail, or high-volume transactional data environments.
  • Infrastructure-as-Code expertise using Terraform.
  • Experience containerizing pipelines with Docker, ECR and EKS.
  • Strong problem-solving and communication skills in a collaborative, cross-functional environment.
  • Design, develop, and maintain scalable and efficient ETL/ELT pipelines using tools such as AWS Glue, DBT, and Airflow.
  • Build and automate event-driven data workflows leveraging AWS Lambda, EventBridge, and related services.
  • Integrate data replication tools like Hevo or Fivetran for seamless ingestion from external systems.
  • Perform data modeling (dimensional and normalized) to support Tableau team and analytics.
  • Manage infrastructure as code using Terraform and automate workflows using GitHub Actions.
  • Optimize and maintain Snowflake data warehouse environments, including performance tuning and data lifecycle management.
  • Use GitHub Actions to deploy DBT projects, manage data pipelines, and automate testing/monitoring tasks.
  • Collaborate with analysts, data scientists, and engineering teams to gather requirements and deliver robust data solutions.
  • Ensure data quality, integrity, and consistency across all systems and processes.
  • Containerize data workflows using Docker for portability and repeatability.
  • Productionalizes SQL queries from data analysts into structured dbt models within the silver/gold layer

Requirements

  • 4–6 years of experience as a Data Engineer or in a similar role.
  • Hands-on experience with AWS data services: Glue, Lambda, EventBridge, S3, IAM, Airflow/MWAA
  • Proficiency in SQL and Python for data manipulation and orchestration.
  • Snowflake data warehouse design and query optimization
  • Solid experience with DBT, Apache Airflow, and Snowflake (or other cloud data warehouses).
  • Experience using GitHub Actions for CI/CD in data workflows.
  • Familiarity with data replication tools such as Hevo or Fivetran.
  • Strong understanding of data modeling principles (e.g., star/snowflake schema).
  • Prior experience in eCommerce, retail, or high-volume transactional data environments.
  • Infrastructure-as-Code expertise using Terraform.
  • Experience containerizing pipelines with Docker, ECR and EKS.
  • Strong problem-solving and communication skills in a collaborative, cross-functional environment.

Education: Bachelor’s degree in computer sciences/IT stream. 4–6 years of experience as a Data Engineer or in a similar role.

EXL

About EXL

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.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
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