Truelogic Software
Truelogic Software is a nearshore software development company that specializes in agile software staff augmentation and custom outsourced software development. With a strong presence in Latin America, Truelogic provides access to highly skilled software engineers who are fluent in English, allowing clients to overcome regional barriers while benefiting from efficient and responsive service. They partner with startups and Fortune 500 companies across various industries, focusing on delivering high-quality web applications and digital solutions.
Nearshore Software Development • Staff Augmentation • Dedicated Teams • Innovation Projects • Mobile & Web Development
Semi-Senior Data Engineer - PySpark
March 29
Truelogic Software
Truelogic Software is a nearshore software development company that specializes in agile software staff augmentation and custom outsourced software development. With a strong presence in Latin America, Truelogic provides access to highly skilled software engineers who are fluent in English, allowing clients to overcome regional barriers while benefiting from efficient and responsive service. They partner with startups and Fortune 500 companies across various industries, focusing on delivering high-quality web applications and digital solutions.
Nearshore Software Development • Staff Augmentation • Dedicated Teams • Innovation Projects • Mobile & Web Development
📋 Description
• We are looking for a Junior to Semi-Senior PySpark Data Engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. • Design, develop, and optimize data pipelines using PySpark and Apache Spark. • Integrate and process data from multiple sources (databases, APIs, files, streaming). • Implement efficient data transformations for Big Data in distributed environments. • Optimize code to improve performance, scalability, and efficiency in data processing. • Collaborate with Data Science, BI, and DevOps teams to ensure seamless integration. • Monitor and debug data processes to ensure quality and reliability. • Apply best practices in data engineering and maintain clear documentation. • Stay up to date with the latest trends in Big Data and distributed computing.
🎯 Requirements
• 3-5 years of experience working with PySpark and Apache Spark in Big Data environments. • Experience with SQL and relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.). • Knowledge of ETL processes and data processing in distributed environments. • Familiarity with Apache Hadoop, Hive, or Delta Lake. • Experience with cloud storage (AWS S3, Google Cloud Storage, Azure Blob). • Proficiency in Git and version control. • Strong problem-solving skills and a proactive attitude. • A passion for learning and continuous improvement.
🏖️ Benefits
• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
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