Our Client is currently seeking an experienced AWS Python Developer for a 12-month onsite contract position in Irvine CA. Please see the details below:
Position: AWS Python Developer
Location: Irvine CA
Duration: 12 Months
Work: Onsite
Qualifications: -
10 15 years of software engineering experience with a strong focus on data infrastructure and engineering.
-
Expertise in OOP design patterns algorithm optimization and problem-solving from first principles.
-
Strong background in parsing unstructured log data real-time data processing distributed/streaming frameworks.
-
Proficient in Python (Java/Scala a plus).
-
Deep expertise in ETL/ELT pipelines data integration and operational monitoring.
-
Experience drafting POCs and collaborating cross-functionally to build production-ready solutions.
-
Hands-on experience with cloud-based platforms (AWS preferred; Azure/GCP acceptable).
Key Responsibilities: -
Design build and maintain event-driven distributed data infrastructure and applications.
-
Develop and optimize ETL/ELT pipelines for batch and real-time workflows.
-
Integrate and normalize diverse data sources with high standards of quality and accuracy.
-
Lead real-time data processing systems for analytics reporting and operational intelligence.
-
Collaborate with data scientists ML engineers and product teams to deliver end-to-end solutions.
-
Establish best practices for testing monitoring deployment automation and observability.
-
Mentor engineers and contribute to technical strategy architecture and roadmap planning.
Our Client is currently seeking an experienced AWS Python Developer for a 12-month onsite contract position in Irvine CA. Please see the details below: Position: AWS Python Developer Location: Irvine CA Duration: 12 Months Work: Onsite Qualifications: 10 15 years of software engineering experien...
Our Client is currently seeking an experienced AWS Python Developer for a 12-month onsite contract position in Irvine CA. Please see the details below:
Position: AWS Python Developer
Location: Irvine CA
Duration: 12 Months
Work: Onsite
Qualifications: -
10 15 years of software engineering experience with a strong focus on data infrastructure and engineering.
-
Expertise in OOP design patterns algorithm optimization and problem-solving from first principles.
-
Strong background in parsing unstructured log data real-time data processing distributed/streaming frameworks.
-
Proficient in Python (Java/Scala a plus).
-
Deep expertise in ETL/ELT pipelines data integration and operational monitoring.
-
Experience drafting POCs and collaborating cross-functionally to build production-ready solutions.
-
Hands-on experience with cloud-based platforms (AWS preferred; Azure/GCP acceptable).
Key Responsibilities: -
Design build and maintain event-driven distributed data infrastructure and applications.
-
Develop and optimize ETL/ELT pipelines for batch and real-time workflows.
-
Integrate and normalize diverse data sources with high standards of quality and accuracy.
-
Lead real-time data processing systems for analytics reporting and operational intelligence.
-
Collaborate with data scientists ML engineers and product teams to deliver end-to-end solutions.
-
Establish best practices for testing monitoring deployment automation and observability.
-
Mentor engineers and contribute to technical strategy architecture and roadmap planning.
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