PySpark + DBT Developer
Zigsaw is looking for a Data Engineer to focus on building and maintaining scalable data pipelines. The role involves designing data transformations using DBT and optimizing PySpark jobs within modern cloud data warehouse environments. Candidates must have solid experience in SQL, data modeling, and ETL processes on cloud platforms. This is an IC role focused on high-quality data architecture and production stability.
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Experience
4-6 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Zigsaw is looking for a Data Engineer to focus on building and maintaining scalable data pipelines. The role involves designing data transformations using DBT and optimizing PySpark jobs within modern cloud data warehouse environments. Candidates must have solid experience in SQL, data modeling, and ETL processes on cloud platforms. This is an IC role focused on high-quality data architecture and production stability.
TAL's take
Tier-2 company with a well-defined, standard data engineering scope.
The JD clearly defines the role responsibilities and the required technical stack.
Must haves
- 4-6 years of experience in Data Engineering
- Strong hands-on experience in PySpark
- Good working knowledge of DBT
- Experience with SQL and data modelling concepts
- Experience with cloud platforms like AWS, Azure, or GCP
- Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse
Tools and skills
Nice to have: airflow, ci/cd, agile.
About the company
unfamiliar company, default mid-tier