What are the responsibilities and job description for the Senior AWS Engineer ( 4250 ) position at Jobs via Dice?
Location: Hybrid in Los Angeles, CA
Employment Type: Contract
Eligibility: W2 Only - No 3rd Parties
Key Responsibilities
Employment Type: Contract
Eligibility: W2 Only - No 3rd Parties
Key Responsibilities
- Design and implement scalable ETL/ELT pipelines using AWS Glue with PySpark for large-scale data processing.
- Develop and maintain serverless integrations using AWS Lambda for event-driven processing and system integrations.
- Design and optimize Amazon Redshift data warehouse solutions, including stored procedures, performance tuning, and advanced SQL analytics.
- Lead implementation of vendor file transfer and ingestion solutions using AWS Transfer Family.
- Implement database migration and replication pipelines using AWS Database Migration Service (DMS).
- Design orchestration workflows using Apache Airflow or similar workflow orchestration tools.
- Analyze data quality, transformation logic, and performance using SQL queries and data analysis techniques.
- Guide development team members on AWS best practices for data engineering, cost optimization, and performance optimization.
- Collaborate with enterprise architecture, security, and compliance teams to ensure SOX and regulatory requirements are met.
- Troubleshoot production data pipelines and integration issues across AWS services.
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or equivalent experience.
- 7 years of experience building data platforms or data engineering solutions.
- 5 years of hands-on experience with AWS cloud services.
- Strong experience with AWS Glue using PySpark for large-scale ETL processing.
- Hands-on experience developing serverless applications using AWS Lambda.
- Deep experience with Amazon Redshift, including performance tuning, SQL analytics, and stored procedures.
- Experience implementing workflow orchestration using Apache Airflow or similar tools.
- Experience implementing secure vendor integrations using AWS Transfer Family.
- Experience designing data migration and replication pipelines using AWS DMS.
- Strong SQL skills and experience analyzing complex queries.
- Knowledge of security, encryption, IAM policies, and compliance in AWS environments.
- Experience working in financial services or regulated environments preferred.
- Strong troubleshooting, problem-solving, and data analysis capabilities.