Qualifications

• Bachelor's degree required
• 5+ years experience in Data Engineering or similar focus on large-scale data systems
• Expert in Python or Scala programming
• Advanced SQL skills for complex querying and database design
• Experience with big data technologies like Apache Spark and Hadoop
• Familiarity with cloud platforms like AWS, Azure, or GCP
• Strong understanding of data warehousing and ETL/ELT processes
• Knowledge of NoSQL databases, Kubernetes, and Docker.

Responsibilities

• Design, develop, test, and maintain scalable data solutions and software applications.
• Engage with stakeholders to translate business needs into technical solutions.
• Implement scalable data architectures including data warehouses and streaming platforms.
• Develop and optimize ETL/ELT pipelines for large data volumes across sources.
• Assess application needs and determine technology stacks and integration methods.
• Create high-level designs for software architecture components and interfaces.
• Collaborate with cross-functional teams to ensure alignment and efficiency.
• Define and implement testing strategies and software quality processes.

Benefits

• Opportunity to work with cutting-edge big data technologies and cloud services.
• Flexible hybrid work environment promoting work-life balance.
• Continuous learning and improvement initiatives encouraged by the organization.
• Strong focus on collaboration across varied teams including product, architecture, and design.
• Engagement with stakeholders offers a chance to shape business direction through technical expertise.