Collaborate at the forefront of the digital revolution, contributing creativity, innovativeness, critical thinking, and numeric skills to shape the global digital landscape.
Leverage machine learning and cloud technologies to improve client businesses by enabling data science capabilities at scale.
Engage in interdisciplinary and international teams that gather technical, business, cloud, and data science competencies, delivering work in agile methodologies (at client locations, remotely, or mixed).
Work directly with clients, demonstrating a commitment to improvement. Conduct workshops using design thinking to create a coherent value proposition.
Work on projects for international clients, expanding your design skill set and gaining insights from a globally diverse team.
Thrive in a workplace that values and celebrates diverse perspectives, contributing to a creative environment where your ideas are welcomed.
Engage in creative projects and access continuous learning through workshops and skill-building initiatives.
Minimum Requirements:
Expert SQL skills (procedures, triggers, functions, packages) in at least one of the DB technologies (e.g., Oracle, MSSQL, Teradata, DB2) with the ability to test, debug, and optimize SQL code performance.
Data modeling experience and understanding of dimensional, relational, or data vault modeling approaches, with the ability to create conceptual, logical, and physical data models.
Experience with ETL tools such as SAS Data Integration Studio, IBM Datastage, Informatica, etc.
Experience or interest in processing data with top Cloud platforms such as GCP, Azure, AWS.
