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Senior Data Engineer (AWS Glue + Python) : (NewYork, Austin, Charolette) – Hybrid
- Austin, Texas, United States
- Austin, Texas, United States
À propos
Senior Data Engineer (AWS Glue + Python) |
Type:
Contract |
Location:
Hybrid
Role Summary We are hiring a Senior Data Engineer to build and optimize cloud data pipelines on AWS, with deep hands‑on expertise in
AWS Glue
and
Python . You will develop reliable ETL/ELT workflows, data quality controls, and scalable data processing patterns.
Key Responsibilities
Build ETL/ELT pipelines using
AWS Glue (PySpark/Python) , Glue Workflows, and Glue Catalog
Develop data ingestion and processing using
S3 ,
Lambda ,
Step Functions ,
EventBridge
Implement data modeling and query optimization (Athena/Redshift as applicable)
Apply data quality checks, lineage/metadata standards, and operational monitoring
Manage orchestration, retries, alerts, and SLA tracking for pipelines
Optimize performance and cost (partitioning, compression, job tuning, concurrency)
Collaborate with stakeholders to translate requirements into scalable data solutions
Required Skills & Experience
8+ years overall; 4+ years data engineering on
AWS
Strong
Python , Glue (PySpark), and distributed processing concepts
Strong with
S3 ,
Glue Catalog ,
IAM ,
CloudWatch
SQL proficiency and experience with data lakes/lakehouse patterns
Experience building production‑grade pipelines with CI/CD (Git, pipelines)
Nice to Have
Iceberg/Hudi/Delta , Lake Formation governance
Streaming:
Kinesis / MSK / Kafka
Warehouse:
Redshift , Snowflake
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Compétences linguistiques
- English
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