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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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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 2 days ago
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