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Relanto Global
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Lead Data Engineer - DBT

Lead Data Engineer - DBT

Relanto Global

8 - 10 years

10 - 12 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

ci/cd data engineering sql query optimization sql performance tuning hive continuous integration snowflake jinja python metadata macros data testing airflow spark data governance bigquery data transformation hadoop etl big data aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Location: Bangalore/Hyderabad/Pune

Experience level: 8+ Years

About the Role

technical and hands-on Lead Data Engineer

deep experience with DBT

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 DBT: automated 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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