Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems
Design and maintain reusable data products that support reporting, advanced analytics, AI, and machine-learning solutions
Ensure high standards for data quality, performance, maintainability, scalability, and reliability
Partner with enterprise architects, data architects, business analysts, data analysts, AI teams, and business stakeholders to deliver enterprise data solutions
Collaborate with business stakeholders and application teams to understand business processes, system landscapes, and data requirements
Support data architecture decisions and contribute to overall data platform design and best practices
Analyze and troubleshoot data integration and performance issues across the data platform
Participate in requirements gathering, technical design discussions, testing, deployment, and operational support activities
Create and maintain technical documentation related to data models, interfaces, and transformation logic
Contribute to continuous improvement initiatives around data engineering standards, automation, and development processes
Basic Qualifications
Bachelor's Degree or equivalent experience required
4+ years of professional experience with modern enterprise data platforms, or related fields
Strong hands-on experience with either
Snowflake, or
Microsoft SQL Server-based Data Warehouse environments
Strong SQL development skills and experience optimizing complex queries and transformations
Solid experience in enterprise data modelling (dimensional and/or relational modelling)
Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple business applications
Good understanding of enterprise business processes and the ability to work in a consulting-oriented environment with business stakeholders
Experience translating business requirements into technical data solutions.
Strong analytical, problem-solving, and troubleshooting skills
Excellent communication skills and ability to collaborate across technical and non-technical teams
Ability to work independently and manage multiple priorities in a dynamic environment
Preferred Qualifications
Experience with SAP ECC or Salesforce
Experience with Python for data processing
Experience with cloud-based data platforms and modern data engineering concepts
Experience with front-end analytics and visualization tools such as
Qlik
Tableau
Experience with data orchestration and scheduling tools
Exposure to modern analytics engineering practices and CI/CD processes for data platforms
Experience working in international or cross-functional project environments
Experience in utilizing AI technologies in displaying business data results
