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EXL

Posted 8 Sept 2026

GurugramHigh payGreat Place to Work
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Role Overview:
 
We are looking for a highly skilled and motivated Senior Data Engineer to join our growing data engineering team.
 
Key Responsibilities:
 
  • In this role, you will build services that will integrate directly with Lending Club’s products and with external vendors. you
  • You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack
  • Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
  • Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
  • Support operations to manage the production environment and help in resolving production issues with RCA
  • Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.
 
Skills required: 
 
  • Strong hands-on experience with distributed systems and big data technologies, including Hadoop, Spark, Hive, DBT, and Airflow/Dagster.
  • Minimum 4 years of solid production-quality coding experience in Python focused on data pipeline development.
  • Experience working with cloud platforms, preferably AWS.
  • Experience with Databricks and/or Snowflake.
  • Proficiency in Git, JIRA, Jenkins, and shell scripting.
  • Good understanding of Agile methodologies, source control management, test automation, and Test-Driven Development.
  • Experience working with cross-functional teams in fast-paced and dynamic environments.
  • Strong analytical, collaborative problem-solving, and communication skills.
  • Proven track record of building fast, scalable, reliable, and high-quality data pipelines.
 
Nice to Have: 
 
Experience building data pipelines for Digital Marketing use cases.
 
 
Required Qualifications:
 
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 6+ years of experience in Data Engineering or related roles
  • Self-driven and proactive mindset.
  • Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
  • Ability to work independently while collaborating effectively with distributed teams and client.