USA Winzons is hiring a PySpark/Python Developer with hands-on experience in Informatica and SAS to work on complex data transformation and migration initiatives. This role is ideal for professionals with a solid background in ETL, big data pipelines, and data processing automation.
🎯 Key Responsibilities:
- Develop scalable data processing workflows using PySpark and Python
- Work with large datasets to extract, clean, transform, and load data across systems
- Interface with Informatica PowerCenter and SAS to support legacy and modernized environments
- Collaborate with data analysts, architects, and ETL developers to ensure seamless integration
- Optimize performance and scalability of batch and streaming data processes
- Document ETL logic, data lineage, and migration plans
🛠️ Required Skills:
- 3–5 years of experience with PySpark and Python for data engineering
- Strong knowledge of Informatica workflows, mappings, and sessions
- Hands-on experience with SAS programs and batch automation
- Solid understanding of SQL, data modeling, and relational databases
- Familiarity with Hadoop ecosystem, data lakes, or cloud storage platforms
- Ability to troubleshoot complex data pipeline issues and ensure data accuracy
🎓 Preferred Qualifications:
- Experience migrating SAS/Informatica processes to PySpark or cloud-native ETL
- Exposure to AWS Glue, Azure Data Factory, or GCP Dataflow
- Knowledge of shell scripting and job scheduling tools (e.g., Autosys, Airflow)
- Prior experience in banking, healthcare, or regulatory data projects is a plus
🎁 What We Offer:
- 100% remote role with flexible hours
- Weekly payouts
- Exposure to legacy modernization and enterprise data initiatives
- A collaborative and technically driven team environment
- Annual salary: $30,000 to $35,000 (based on experience and expertise)
📨 How to Apply:
If you have a passion for data transformation and experience in both legacy and modern ETL tools, submit your resume via our website or click “Apply Now” to join USA Winzons as a PySpark/Python Developer.