Senior Data Engineer
1 week ago
We are seeking a
Senior Data Engineer
with strong hands-on experience in
Python, PySpark, AWS Glue, DBT, Snowflake, and Airflow
. The candidate will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT workflows to support our analytics and data platform.
Key Responsibilities:
- Design, develop, and maintain
data ingestion and transformation pipelines
using
PySpark
and
AWS Glue
. - Implement
data modeling and transformation logic
using
DBT
and integrate with
Snowflake
. - Build, schedule, and monitor
ETL/ELT workflows
using
Apache Airflow
. - Work with cross-functional teams to understand business data needs and deliver reliable, high-quality datasets.
- Optimize data performance, manage data quality, and ensure best practices in data governance and security.
- Collaborate with DevOps/Cloud teams to ensure scalable and secure data infrastructure.
- Participate in
code reviews, testing, and deployment
processes.
Technical Skills Required:
- Programming:
Strong proficiency in
Python
and
PySpark
. - ETL Tools:
Hands-on experience with
AWS Glue
. - Data Modeling & Transformation:
Expertise in
DBT
and
Snowflake
. - Orchestration:
Solid experience using
Apache Airflow
. - Databases:
Experience working with both
SQL
and
NoSQL
data sources. - Cloud Platforms:
AWS preferred (S3, Lambda, Glue, Redshift, IAM). - Version Control:
Git / Bitbucket. - CI/CD:
Experience with automated data deployment pipelines is a plus
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