[Remote] Lead AWS Data Engineer (PySpark, Glue & Dimensional Modelling)
Note: The job is a remote job and is open to candidates in USA. FUSTIS LLC is seeking a Lead AWS Data Engineer to develop and maintain PySpark-based ETL pipelines and manage AWS Glue jobs. The role involves designing dimensional data models and optimizing data workflows to ensure data reliability and performance.
Responsibilities
• 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, EventBridge, 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
Skills
• PySpark ramp-up
• Glue job hands-on proof
• Dimensional modeling
• Strong PySpark experience (Spark SQL, DataFrames, 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, CloudWatch)
• Production ownership mindset (debugging, failures, reprocessing)
Company Overview
• Welcome to Fustis, your trusted partner in connecting IT consultants with clients. It was founded in 2022, and is headquartered in Sacramento, California, US, with a workforce of 11-50 employees. Its website is https://www.fustis.com.
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