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Senior Python Data Engineer

2 weeks, 4 days ago
Mexico, Argentina, Brazil, Chile, Colombia, Costa Rica, Paraguay, Peru, Uruguay
Contract
Lead
Backend Engineer
Software Development
Agile Apache Spark Cassandra CI/CD Django Flask Machine Learning MySQL NumPy Oracle Pandas PostgreSQL Python REST API Scikit-learn SQL SQL Server
Apply Now
Resilient Co

Resilient Co

Resilient Co is a technology consulting company that empowers businesses with smart solutions and diverse teams, offering resilient support in the dynamic tech industry.

Professional Services
11-50
Founded 2020
View All Jobs 8

Description

  • Design, develop, and maintain scalable Python applications and services.
  • Build backend services and RESTful APIs using Django and/or Flask.
  • Develop and optimize large-scale data processing pipelines using PySpark.
  • Build scalable ETL and data ingestion frameworks for structured and unstructured datasets.
  • Implement data science algorithms and machine learning models in production environments.
  • Collaborate with data scientists to operationalize, validate, deploy, and monitor ML solutions.
  • Perform data wrangling, cleansing, transformation, and analytics on large datasets.
  • Design and optimize data access patterns across relational and NoSQL databases.
  • Develop automated unit, integration, and regression tests and contribute to CI/CD practices.
  • Partner with product, architecture, engineering, and offshore teams across multiple time zones.

Requirements

  • 8+ years of professional Python development experience.
  • Expert-level Python programming skills with strong object-oriented programming knowledge.
  • Strong experience building scalable and maintainable applications with Django and/or Flask.
  • Hands-on experience with PySpark, distributed data processing, and large-scale ETL pipelines.
  • Experience working with high-volume datasets and enterprise-scale data processing solutions.
  • Experience implementing and operationalizing data science algorithms and machine learning workflows.
  • Hands-on experience with scikit-learn and model integration/deployment.
  • Experience using Pandas, NumPy, PyArrow, and other Python data processing libraries.
  • Strong experience with relational databases including PostgreSQL, SQL Server, Oracle, and MySQL, plus SQL development skills.
  • Experience with NoSQL platforms such as Cassandra and HBase, or similar distributed data stores.
  • Experience collaborating across global, distributed teams.
  • Experience with automated testing, code reviews, CI/CD, source control, and software engineering best practices.
  • Engagement length of 12+ months.
  • Availability to work PST hours from 8:00 AM to 5:00 PM.
  • Must follow the client holidays calendar (USA holidays mandatory).

Benefits

  • Client-provided equipment.
  • 12+ month engagement.
  • Structured interview process with team, technical, and client interviews.
  • Opportunity to work with distributed, international teams.
  • Exposure to high-impact enterprise data, API, and machine learning work.

Interested in this position?

Apply directly on the company website

Apply Now

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