ETL Developer (Extract, Transform, Load)

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here are the job details Job Title: Sr. ETL Developer - PySpark/Python Location: Charlotte NC (On-site 5 days/week) Duration: Long Term Job Summary: We are seeking a highly skilled and experienced Senior ETL Developer with strong expertise in PySpark, Python, along with a solid background in ETL (Extract, Transform, Load) processes across relational databases and cloud platforms. The ideal candidate will have a minimum of 5 years of hands-on experience developing scalable data pipelines and ETL workflows using modern tools and frameworks. Responsibilities: • Design, develop, and maintain ETL pipelines using PySpark and Python for large-scale data processing. • Implement validation logic as part of ETL workflows. • Work with relational databases (e.g., Oracle, PostgreSQL, SQL Server) to extract, transform, and load data efficiently. • Develop and optimize data pipelines on cloud platforms (AWS) using Spark-based frameworks (Data Frames). • Collaborate with data architects, analysts, and other stakeholders to understand requirements and deliver reliable data solutions. • Ensure data integrity, performance, and quality in all ETL processes. • Participate in code reviews, testing, and deployment of data solutions. • Work on-site in a U.S. office location four days per week, with one day optional for remote work. Required Qualifications: • 5+ years of experience in ETL development with a strong foundation in data integration, transformation, and loading. • Proven experience writing efficient code in PySpark and Python, especially for large-scale data sets. • Hands-on experience with creating ETL workflows. • Strong experience working with relational databases and writing complex SQL queries. • Solid understanding of data modeling, performance tuning, and best practices in ETL design. • Experience with cloud-based data processing using Spark on AWS, Azure, or GCP. • Strong communication and collaboration skills. • Must be authorized to work in the U.S. and willing to work from the office 4 days/week. Preferred Qualifications: • Experience with data orchestration tools like Apache Airflow or similar. • Familiarity with data governance and security best practices. • Experience in Agile/Scrum environments. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.