Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview