Data Engineer - AWS/Oracle
Full-time
Tunabear
Contract role: 1099, C2C
Location: Remote, CA hours (8am-5pm PST availability)
Contract length: 6 months + likely extension
Data Engineer Contractor AWS / Oracle
Position Overview
We are seeking a hands-on Data Engineer Contractor to support our Reporting Instance (RI) and Self-Managed Hosting (SMH) project initiatives. The engineer will be responsible for developing and supporting scalable data pipelines, ETL processes, data validation, batch processing, and AWS-based data solutions. The ideal candidate has strong experience with AWS Glue, AWS Lambda, Oracle SQL/PL/SQL , and troubleshooting complex data environments.
Key Responsibilities- Design, develop, and support ETL/ELT data pipelines using AWS Glue .
- Develop and maintain AWS Lambda functions for data processing, automation, and event-driven workflows.
- Build and support data flows for downstream reporting and analytics systems.
- Work with Oracle SQL and PL/SQL to develop, troubleshoot, and optimize data processing workloads.
- Validate end-to-end data flows and ensure data quality, integrity, and consistency.
- Monitor and troubleshoot batch jobs, pipeline failures, data issues, and operational problems.
- Support AWS environment configuration, deployment, and operational readiness in collaboration with Infrastructure teams.
- Perform SQL and pipeline performance tuning , including query optimization, execution-plan analysis, indexing, materialized views, partitioning, and parallel processing where appropriate.
- Optimize ETL processes, batch jobs, and data refresh cycles for reliability and scalability.
- Create technical documentation and participate in knowledge transfer.
- Hands-on experience with AWS Glue and AWS Lambda .
- Strong experience developing and supporting data pipelines and ETL processes .
- Strong Oracle SQL and PL/SQL experience.
- Experience working with large-scale or high-volume data environments.
- Experience with data validation, troubleshooting, and batch processing.
- Understanding of AWS cloud services and data integration patterns.
- Strong problem-solving and communication skills.
- Ability to work independently in a fast-paced operational environment.
- Experience with Oracle performance tuning and execution-plan analysis.
- Experience with materialized views, indexing, partitioning, and parallel processing.
- Familiarity with batch scheduling and orchestration tools.
- Experience working with Infrastructure and cross-functional teams.
Vacancy posted 1 day ago
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