Responsibilities:
- Design, develop, and maintain DBT models to transform raw data into analytics-ready datasets;
- Implement complex SQL transformations, including joins, window functions, aggregations, and performance tuning;
- Build and manage incremental models, snapshots, tests, macros, and documentation in DBT;
- Develop and optimize Delta Lake tables on Databricks for performance and scalability;
- Collaborate with analysts and stakeholders to translate business requirements into robust data models;
- Ensure data quality, reliability, and maintainability through testing, documentation, and CI/CD pipelines;
- Contribute to data modeling and architecture decisions following Kimball and layered (medallion) data architecture principles;
- Support and improve existing transformation pipelines handling large and complex datasets;
Required Skills & Experience
Core Technical Skills:
- Strong hands-on experience with DBT (Data Build Tool) in production environments;
- Advanced SQL skills, including complex transformations and query optimization;
- Solid understanding of data warehousing concepts and dimensional modeling (Kimball);
- Hands-on experience with Databricks, including:
Databricks SQL and Notebooks:
- Delta Lake tables and performance optimization;
- Basic working knowledge of PySpark (ability to read and make minor modifications);
Platform & Tooling:
- Experience with Git-based workflows and CI/CD pipelines;
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, or GCP);
- Experience working in modern analytics or data engineering environments;
Experience Level:
- 3+ years of experience in Analytics Engineering or Data Engineering roles;
- Proven track record of delivering production-grade DBT models;
- Experience working with large datasets and complex data transformation pipelines;
- Comfortable owning data models used for business reporting and decision-making;
Nice to Have:
- Databricks certifications (Data Engineer or Data Analyst);
- Experience with large-scale data platform transformations;
- Familiarity with medallion / layered data architecture;
- Experience supporting BI or reporting use cases (e.g., dashboards, metrics layers);
We have over 30 years of experience in providing comprehensive solutions in various industries. During this time, we have achieved success in over 2,000 projects and established development centers in several countries in Europe, the United States, Africa, and Asia. IBA Group develops and integrates custom software, implements proprietary and vendor solutions, and offers technical support and consulting. Fundamental areas: mainframe software, corporate and mobile applications, web, SAP and other ERP, BI, and IBM Tivoli systems.
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