Skip to content
Search jobs inside your AI agent. Claude, ChatGPT, Claude Code, Codex, Gemini, Cursor and Grok
Connect

Multiverse Solutions

NewBe an early applicant

Data Engineer -DBT

Posted Updated
Discussion

Description

Profile : Data Engineer- DBT

Location : Noida

Contact : Nikhil.vats@multiversetech.com

We are looking for an experienced Data Engineer with strong expertise in DBT (Data Build Tool), SQL and modern data engineering practices. The ideal candidate should have hands-on experience in building, developing and maintaining scalable data transformation pipelines, data models and data warehouse solutions.


Key Responsibilities

  • Design, develop and maintain scalable data transformation workflows using DBT.
  • Build and optimize complex SQL queries for data transformation and modelling.
  • Develop and maintain DBT models, macros, snapshots, tests and documentation.
  • Work on ETL/ELT pipelines and integrate data from multiple sources.
  • Implement data quality checks, testing frameworks and data validation processes.
  • Collaborate with data analysts, data scientists and engineering teams.
  • Optimize data models and warehouse performance for better efficiency.
  • Manage DBT deployments, version control and CI/CD workflows.
  • Troubleshoot data pipeline issues and ensure data accuracy and reliability.
  • Work with cloud-based data platforms and modern data stack technologies.

Required Technical Skills

  • Strong hands-on experience with DBT (DBT Core / DBT Cloud).
  • Excellent SQL skills, including complex queries, joins, CTEs and window functions.
  • Strong understanding of data modelling concepts (Star Schema, Snowflake Schema).
  • Experience with ETL/ELT processes and data pipeline development.
  • Hands-on experience with any cloud data warehouse:
    • Snowflake
    • Google BigQuery
    • Amazon Redshift
    • Databricks
  • Programming knowledge in Python.
  • Experience with Git, GitHub/GitLab and version control.
  • Understanding of data warehousing and data integration concepts.

Good-to-Have Skills

  • Experience with Apache Airflow or other orchestration tools.
  • Knowledge of AWS, Azure or GCP.
  • Experience with CI/CD pipelines.
  • Familiarity with Apache Spark and Databricks.
  • Knowledge of data governance and data quality frameworks.

Skills

Apply

See also

Data Engineering jobs by country — openings, pay and top skills →