WE ARE RESILIENT CO. We adapt to your needs.
Senior Python Data Engineer
Location
Argentina
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
Senior Python Data Engineer
Resilient Co.
• Design, develop, and maintain scalable Python applications and services. • Build reusable, maintainable, and well-documented code components. • Develop backend services and APIs using Django and/or Flask. • Participate in architecture reviews and technical design discussions. • Troubleshoot and optimize production systems. • Develop and optimize large-scale data processing pipelines using PySpark. • Process, transform, and analyze large structured and unstructured datasets. • Build scalable ETL and data ingestion frameworks. • Optimize distributed data processing workloads for performance and reliability. • Implement data science algorithms and predictive models in production environments. • Collaborate with data scientists to operationalize machine learning solutions. • Develop and optimize ML pipelines using scikit-learn and related libraries. • Support model deployment, validation, and monitoring processes. • Perform complex data wrangling, cleansing, and transformation activities. • Build data pipelines utilizing Pandas, NumPy, PyArrow, and PySpark. • Develop solutions for handling large-scale datasets and analytical workloads. • Design and develop RESTful APIs supporting high-volume data operations. • Build secure, scalable services capable of handling significant throughput. • Design and optimize data access patterns across relational and NoSQL databases. • Work with efficient SQL queries and database integrations.
Job Requirements
- 8+ years of professional Python development experience.
- Proven experience developing enterprise-scale applications and data processing solutions.
- Experience working with large-scale datasets and big data platforms.
- Experience collaborating across global and distributed teams.
- Expert-level Python programming skills.
- Strong understanding of object-oriented programming principles.
- Experience developing scalable and maintainable applications.
- Strong experience with Django and Flask.
- Experience building production-grade REST APIs.
- Strong hands-on experience with PySpark.
- Experience handling high-volume datasets.
- Experience implementing and operationalizing data science algorithms.
- Hands-on experience with scikit-learn.
- Experience using Pandas, NumPy, PyArrow, and other Python data processing libraries.
- Strong experience with relational databases: PostgreSQL, SQL Server, Oracle, MySQL.
- Strong SQL development skills.
- Experience with Cassandra, HBase, and other distributed NoSQL platforms.
- Strong commitment to automated testing, code reviews, CI/CD, source control, and software engineering best practices.
Benefits
- Equipment: Provided by the client.
- Client Holidays (USA – Mandatory)
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• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs
• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs
• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing • Write clear natural-language specifications and reference implementations • Develop and extend unit and integration test suites • Review peer-generated tasks for correctness, clarity, and realism • Identify edge cases, ambiguities, and potential failure modes • Ensure alignment between specifications, code, and expected outputs
