Synechron - Dallas, TX
posted 4 months ago
At Synechron, we are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team. The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. You will be responsible for developing scalable data processing and analytics solutions in a cloud environment. This role is crucial as it involves designing, building, and maintaining efficient data processing pipelines that can handle large datasets effectively. You will collaborate closely with data scientists and analysts to transform data into actionable insights, ensuring that the systems meet business requirements and adhere to industry practices for security and privacy. In this position, you will be expected to write reusable, testable, and efficient Python code while optimizing data retrieval processes. You will also be involved in implementing data ingestion, cleansing, deduplication, and consolidation processes. Leveraging cloud-based big data services and architectures such as AWS, Azure, or GCP will be a key part of your responsibilities. Staying updated with the latest innovations in big data technologies and PySpark enhancements is essential to ensure that our solutions remain cutting-edge and effective. This role offers the opportunity to work on exciting projects at leading tier-one banks, financial institutions, and insurance firms, contributing to the modernization of their data processing capabilities.