About the role
We are seeking a talented Senior Data Engineer to join our fast-paced, innovative team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructures that power our data-driven business solutions. You will collaborate cross-functionally with our data analysts, data scientists, and business stakeholders to understand their requirements and deliver high-quality, scalable data solutions.
Key Responsibilities:
- Design and implement efficient and reliable data pipelines using modern data engineering tools and technologies (e.g., Apache Spark, Airflow, Kafka, Snowflake, etc.)
- Develop and optimize data models, data warehouses, and data lakes to support business intelligence and advanced analytics
- Automate data processing workflows and ensure data quality, reliability, and security
- Troubleshoot and resolve data-related issues, implement monitoring and alerting systems
- Stay up-to-date with the latest data engineering trends and technologies and recommend improvements to our data architecture
Requirements:
- 5+ years of experience as a Data Engineer or similar role
- Expertise in designing and implementing scalable data pipelines and data processing workflows
- Strong proficiency in SQL, Python, and modern data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, Snowflake)
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)
- Understanding of data architecture patterns, data modeling, and data governance best practices
- Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team
- Good communication skills and the ability to collaborate with cross-functional teams
About the company
Unit4 is a leading provider of enterprise software for services organizations. Our solutions empower people in service-driven organizations to reimagine how work gets done. For more information, please visit our website at www.unit4.com.