About the role
We are looking for a Data Engineer with 5+ years of experience in designing and building scalable data solutions. The ideal candidate will have strong expertise in Python, PySpark, Apache Spark, SQL, and cloud platforms (AWS/Azure/GCP). You will be responsible for developing high-performance ETL/ELT pipelines, optimizing data processing workflows, and enabling reliable, data-driven business solutions.
- Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and Apache Spark.
- Build and optimize SQL queries, data processing workflows, and large-scale distributed data systems.
- Develop and maintain data warehouse solutions and implement dimensional data models.
- Work with AWS, Azure, or GCP services to build cloud-based data engineering solutions.
- Collaborate with cross-functional teams while following Git, CI/CD, and Agile/Scrum best practices.
- 5+ years of experience in Data Engineering with strong expertise in Python, PySpark, Apache Spark, and SQL.
- Hands-on experience building scalable ETL/ELT pipelines, data warehouses, and dimensional models.
- Experience with AWS/Azure/GCP, large-scale distributed datasets, and query performance optimization.
- Strong understanding of Git, CI/CD pipelines, Agile/Scrum methodologies, and a Bachelor's degree in Computer Science, Information Technology, or a related field.