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Posted 21 August, 2026

DBT Developer

ExlService Holdings, Inc.
Gurugram, Haryana, India Full Time
Reference: 218_689623_15618

  • Seeking a skilled Data Engineer / Analytics Developer with expertise in DBT, Snowflake, Python, and SAS to design, develop, and maintain scalable data solutions.
  • Candidate should have strong experience in data warehousing, ETL/ELT development, data transformation, analytics, and performance optimization.
  • This role involves working closely with business stakeholders, data analysts, and engineering teams to deliver high-quality data products that support reporting, analytics, and decision-making.
  • The person will work with different stakeholders as SME for analytics development

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, or a related field.
  • 4+ years of experience in data engineering, analytics engineering, or related roles.
  • Strong hands-on experience with DBT.
  • Proficiency in Snowflake data warehouse architecture, performance tuning, and administration concepts.
  • Strong programming skills in Python for data processing and automation.
  • Experience developing and maintaining solutions using SAS (Base SAS, SAS SQL, SAS Macros).
  • Advanced SQL skills and experience with complex data transformations.
  • Experience with ETL/ELT design and implementation.
  • Knowledge of data warehousing concepts, dimensional modeling, and star/snowflake schemas.
  • Familiarity with version control systems such as Git.
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and stakeholder management abilities.
  • Outstanding written and verbal communication skills
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Design, develop, and maintain robust data pipelines using DBT, Python, and Snowflake.
  • Build and optimize data models, transformations, and data marts within Snowflake.
  • Develop, test, and deploy DBT models, macros, snapshots, and documentation.
  • Migrate and modernize legacy SAS-based data processes into cloud-native solutions where applicable.
  • Create and maintain ETL/ELT workflows to ingest, cleanse, transform, and validate data from multiple sources.
  • Write efficient SQL queries and optimize Snowflake performance, storage, and compute utilization.
  • Develop Python scripts and frameworks for automation, data processing, and orchestration.
  • Perform data quality checks, reconciliation, and troubleshooting to ensure data accuracy and integrity.
  • Collaborate with business users, analysts, and architects to gather requirements and translate them into technical solutions.
  • Support reporting, analytics, and data science initiatives by providing reliable datasets.
  • Participate in code reviews, testing, deployment, and documentation activities.
  • Monitor and troubleshoot production data pipelines and resolve issues proactively.
  • Follow data governance, security, and compliance standards.

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