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Production Agent - L1

1 - 4 years

2 - 5 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Job Description


 LocationBangalore/Hyderabad/Pune 
Experience level8+ Years About the Role 
We are looking for a  technical and hands-on Lead Data Engineer  to help drive the modernization of our data transformation workflows. We currently rely on legacy SQL scripts orchestrated via Airflow, and we are transitioning to a modular, scalable, CI/CD-driven  DBT-based  data platform.
The ideal candidate has  deep experience with DBT ,  modern data stack design , and has previously led similar migrations improving code quality, lineage visibility, performance, and engineering best practices.
 Key Responsibilities 
  •  Lead the migration  of legacy SQL-based ETL logic to DBT-based transformations
  •  Design and implement  a scalable, modular DBT architecture (models, macros, packages)
  • Audit and  refactor legacy SQL  for clarity, efficiency, and modularity
  • Improve  CI/CD pipelines  for DBTautomated testing, deployment, and code quality enforcement
  • Collaborate with data analysts, platform engineers, and business stakeholders to understand current gaps and define future data pipelines
  • Own  Airflow orchestration redesign  where needed (e.g., DBT Cloud/API hooks or airflow-dbt integration)
  • Define and enforce  coding standards, review processes, and documentation practices 
  • Coach junior data engineers on DBT and SQL best practices
  • Provide  lineage and impact analysis  improvements using DBTs built-in tools and metadata

  •  Must-Have Qualifications 
  • 8+ years of experience in data engineering
  • Proven success in  migrating legacy SQL to DBT , with visible results
  • Deep understanding of  DBT best practices , including model layering, Jinja templating, testing, and packages
  • Proficient in  SQL performance tuning , modular SQL design, and query optimization
  • Experience with  Airflow  (Composer, MWAA), including DAG refactoring and task orchestration
  • Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery etc.)
  • Familiarity with  data testing and CI/CD for analytics workflows 
  • Strong communication and leadership skills; comfortable working cross-functionally

  •  Nice-to-Have 
  • Experience with  DBT Cloud or DBT Core integrations with Airflow 
  • Familiarity with  data governance and lineage tools  (e.g., dbt docs, Alation)
  • Exposure to Python (for custom Airflow operators/macros or utilities)
  • Previous experience mentoring teams through modern data stack transitions
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