Senior Python Data Engineer

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Resilient Co.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤝 B2B

👥 HR Tech

☁️ SaaS

B2B • HR Tech • SaaS

Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.

📋 Description

• 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.

🎯 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)