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PySpark + DBT Developer

Actively Reviewing the Applications

Zigsaw

India, Delhi Full-Time On-site

Posted 3 weeks ago • Apply by June 16, 2026

Job Description

PySpark + DBT Developer

Experience: 4–6 Years

Location: Gurgaon

Immediate joiners only

Budget- 15-18 LPA

Job Summary:

We are looking for a skilled PySpark + DBT Developer with 4–6 years of experience in building scalable data pipelines and transforming large datasets. The ideal candidate should have strong hands-on experience in PySpark, DBT (Data Build Tool), and modern data warehouse environments.

Key Responsibilities:

Develop, optimize, and maintain scalable data pipelines using PySpark.
Design and implement data transformation workflows using DBT.
Build and manage data models in cloud-based data warehouses.
Perform data validation, transformation, and cleansing.
Optimize performance of Spark jobs and DBT models.
Work closely with Data Engineers, Analysts, and Business teams to understand data requirements.
Ensure data quality, governance, and best practices.
Troubleshoot and resolve production issues.

Required Skills:

4–6 years of experience in Data Engineering.
Strong hands-on experience in PySpark.
Good working knowledge of DBT (Data Build Tool).
Experience with SQL and data modelling concepts.
Hands-on experience with cloud platforms like AWS / Azure / GCP.
Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
Understanding of ETL/ELT concepts.
Familiarity with version control tools like Git.

Good to Have: