Senior Python Engineer: ETL, AI & Cloud Native

Synechron

New York (NY)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Synechron seeks an experienced Python Developer to join our engineering team. You will write, test and debug code, integrate applications with third-party services, and build production-grade ETL/ELT pipelines for data and software products.

Strong Python skills, SQL proficiency and experience with data manipulation libraries are essential. You will contribute to cloud-native development using Kubernetes and Docker, engage stakeholders, and communicate complex concepts clearly.

Qualifications

  • 8+ years of professional experience in software or data engineering.
  • Previous consulting expertise with completed projects.
  • Strong Python programming skills and hands-on experience building production-grade ETL/ELT pipelines and workflow.
  • Experience with Kubernetes-based cloud-native development and deployment is a plus.
  • Modeling skills with ontologies or UML object models.
  • A consultant mindset: engage stakeholders, scope requirements, structure solutions, and communicate technical concepts.

Responsibilities

  • Write and test code, debug programs and integrate applications with third-party web services.
  • Build highly responsive web applications aligned with business needs.
  • Collaborate with team to develop and maintain software products.
  • Work on ETL/ELT pipelines and data integration tasks.

Skills

Python
ETL Pipelines
SQL
Pandas/NumPy
Kubernetes
Docker
OAuth2
GitHub Copilot

Tools

Apache Airflow
GitHub Copilot
Docker
OAuth2

Job description

Synechron seeks an experienced Python Developer to join our engineering team. You will write, test and debug code, integrate applications with third-party services, and build production-grade ETL/ELT pipelines for data and software products.

Strong Python skills, SQL proficiency and experience with data manipulation libraries are essential. You will contribute to cloud-native development using Kubernetes and Docker, engage stakeholders, and communicate complex concepts clearly.

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