Job Title:
Senior Data Engineer (DBT + PySpark)
Experience:
8–10 Years
Location:
Gurugram
We are looking for an experienced
Senior Data Engineer
with strong expertise in
DBT and PySpark
to join our team. The ideal candidate will be responsible for building, optimizing, and maintaining scalable data pipelines and transforming data for analytics and business intelligence.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using
PySpark
.
Implement data transformation workflows using
DBT (Data Build Tool)
.
Optimize data processing and improve performance of large-scale data systems.
Collaborate with data analysts, data scientists, and business stakeholders.
Ensure data quality, integrity, and governance across data platforms.
Work with cloud-based data platforms (AWS/GCP/Azure) if required.
Troubleshoot and resolve data-related issues in a timely manner.
Required Skills:
Strong hands-on experience in
DBT (Data Build Tool)
.
Expertise in
PySpark
and distributed data processing.
Good knowledge of
SQL
and data modeling concepts.
Experience working with
ETL/ELT pipelines
.
Familiarity with data warehousing concepts.
Experience with cloud platforms (preferred).
Preferred Qualifications:
Experience in working with large datasets and big data technologies.
Knowledge of orchestration tools like Airflow (preferred).
Strong problem-solving and analytical skills.
