Key responsibilities include: developing and optimizing ETL/ELT processes; integrating data from diverse enterprise systems; ensuring data quality, security, and governance; leveraging modern cloud technologies to build scalable data solutions that support operational excellence, business intelligence, and strategic initiatives; continuously improving data infrastructure through automation, performance optimization, and enhanced reliability while ensuring compliance with enterprise data standards.

Required qualifications: Advanced degree plus 3 years of experience, or Bachelor's degree plus 5 years in data engineering, software engineering, computer science, information systems, or related field. Preferred studies: CS, information systems, data engineering, software engineering, computer engineering, mathematics, statistics, or related quantitative discipline. Certifications such as AWS Certified Data Analytics or Databricks are a plus. Proficiency in SQL and Python; experience designing, developing, and maintaining scalable ETL/ELT pipelines; strong knowledge of relational databases, data warehouses,

Key responsibilities include: developing and optimizing ETL/ELT processes; integrating data from diverse enterprise systems; ensuring data quality, security, and governance; leveraging modern cloud technologies to build scalable data solutions that support operational excellence, business intelligence, and strategic initiatives; continuously improving data infrastructure through automation, performance optimization, and enhanced reliability while ensuring compliance with enterprise data standards.

Required qualifications: Advanced degree plus 3 years of experience, or Bachelor's degree plus 5 years in data engineering, software engineering, computer science, information systems, or related field. Preferred studies: CS, information systems, data engineering, software engineering, computer engineering, mathematics, statistics, or related quantitative discipline. Certifications such as AWS Certified Data Analytics or Databricks are a plus. Proficiency in SQL and Python; experience designing, developing, and maintaining scalable ETL/ELT pipelines; strong knowledge of relational databases, data warehouses,