Data Engineer

About Company 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. Title: Data Engineer Location: Remote About the Role We are looking for a Data Engineer with strong experience in building scalable data pipelines, Data Lake/Data Warehouse solutions, and end‑to‑end ETL development. This role is ideal for someone who enjoys solving complex data problems and collaborating with cross‑functional teams. Key Responsibilities Design, develop, and optimize ETL/ELT pipelines using Python, PySpark, and SQL Build and maintain Data Lake / Data Warehouse solutions (Snowflake, Hadoop, Spark, Impala) Develop transformation logic, data ingestion frameworks, and automation scripts Work closely with product, analytics, and engineering teams to deliver data solutions Perform data validation, quality checks, and performance tuning Support production pipelines and troubleshoot issues in real time Document processes, workflows, and data models Required Skills 3–5+ years of experience in Data Engineering Strong hands‑on experience with Python, PySpark, SQL Experience with Snowflake, Hadoop, Spark, Impala Solid understanding of ETL, data modeling, and distributed systems Experience with UNIX shell scripting Strong analytical and problem‑solving skills Excellent communication and collaboration abilities Nice to Have Experience with cloud platforms (AWS, Azure, GCP) Knowledge of Airflow, Kafka, or other orchestration/streaming tools Exposure to 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.