Data Engineer

Vertisystem, a MOURI Tech Company, is seeking an experienced Data Engineer with a strong background in building and operating large-scale, cloud-native data platforms. The role involves designing and maintaining scalable data pipelines, optimizing data solutions for analytics and machine learning, and collaborating with cross-functional teams to enhance data-driven solutions.

Responsibilities:

• Design, build, and maintain highly scalable, fault-tolerant data pipelines and distributed data platforms
• Develop robust ETL/ELT frameworks for processing large volumes of structured and unstructured data
• Architect data solutions that support analytics, reporting, AI/ML, and real-time business insights
• Optimize data models, storage, and processing for performance, reliability, and scalability
• Partner with Data Scientists, Software Engineers, Product Managers, and Analytics teams to deliver data-driven solutions
• Improve data quality, governance, monitoring, and operational excellence across enterprise data platforms
• Build reusable frameworks, automation, and data engineering best practices
• Drive technical design discussions, code reviews, and continuous improvements

Requirements:

• Strong background building and operating large-scale, cloud-native data platforms in high-growth or enterprise environments
• Experience with high-volume distributed data systems
• Experience with scalable ETL/ELT pipelines
• Experience with modern data architectures supporting analytics, machine learning, and business-critical applications
• Ability to design, build, and maintain highly scalable, fault-tolerant data pipelines and distributed data platforms
• Ability to develop robust ETL/ELT frameworks for processing large volumes of structured and unstructured data
• Ability to architect data solutions that support analytics, reporting, AI/ML, and real-time business insights
• Ability to optimize data models, storage, and processing for performance, reliability, and scalability
• Ability to partner with Data Scientists, Software Engineers, Product Managers, and Analytics teams to deliver data-driven solutions
• Ability to improve data quality, governance, monitoring, and operational excellence across enterprise data platforms
• Ability to build reusable frameworks, automation, and data engineering best practices
• Ability to drive technical design discussions, code reviews, and continuous improvements
• Experience designing and maintaining large-scale distributed data systems
• Strong expertise with SQL, Python, Spark, and modern ETL/ELT frameworks
• Experience with cloud platforms such as AWS, GCP, or Azure
• Hands-on experience with technologies such as Databricks, Snowflake, Kafka, Airflow, Hive, Delta Lake, or similar modern data platforms
• Strong understanding of data modeling, data warehousing, orchestration, and data governance
• Excellent problem-solving, communication, and cross-functional collaboration skills
• Experience supporting data platforms used for analytics, machine learning, or large-scale business operations