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Lead AWS Data Engineer
Job in
Sacramento, Sacramento County, California, 95828, USA
Listed on 2026-06-09
Listing for:
FUSTIS LLC
Full Time
position Listed on 2026-06-09
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Senior AWS Data Engineer
Must Have- PySpark ramp-up
- Glue job hands-on proof
- Dimensional modeling
- Develop and maintain PySpark-based ETL pipelines for batch and incremental data processing
- Build and operate AWS Glue Spark jobs (batch and event-driven), including:
- Job configuration, scaling, retries, and cost optimization
- Glue Catalog and schema management
- Design and maintain event-driven data workflows triggered by S3, Event Bridge, or streaming sources
- Load and transform data into Amazon Redshift, optimizing for:
- Distribution and sort keys
- Incremental loads and upserts
- Query performance and concurrency
- Design and implement dimensional data models (star/snowflake schemas), including:
- Fact and dimension tables
- Slowly Changing Dimensions (SCDs)
- Grain definition and data quality controls
- Collaborate with analytics and reporting teams to ensure the warehouse is BI-ready
- Monitor, troubleshoot, and optimize data pipelines for reliability and performance
- Strong PySpark experience (Spark SQL, Data Frames, performance tuning)
- Hands-on experience with AWS Glue (Spark jobs, not just crawlers)
- Experience loading and optimizing data in Amazon Redshift
- Proven experience designing dimensional data warehouse schemas
- Familiarity with AWS-native data services (S3, IAM, Cloud Watch)
- Production ownership mindset (debugging, failures, reprocessing)
- SPARK SQL
- DATA SERVICES
- MODELING
- PYSPARK
- AWS
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