Data Modeler
- المدينة
- الرياض
- نوع العمل
- حضوري
- تاريخ النشر
- لم تذكره جهة العمل
- المجال
- تحليل البيانات
عن الوظيفة
Client Introduction: In this role, you will have the opportunity to work closely with one of our esteemed clients, known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.
Job Title: Data Modeler Job Description: At least +4 years in same field 2+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
اقرأ الوصف كاملاً
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation Experience with SQL, ODI, and ETL/ELT.
Experience building or maintaining ETL processes Communication skills, especially explaining technical concepts to non-technical business leaders. Technical Knowledge/Skills Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as [R, Python, Java, KNIME, others].
Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
Strong experience with popular database programming languages including [SQL, PL/SQL, others] for relational databases and certifications on upcoming [NoSQL/Hadoop oriented databases like MongoDB, Cassandra, others] for nonrelational databases. Benefits and Perks: Competitive salary and bonus structure. Comprehensive health and wellness benefits.
Opportunities for professional development and growth. Flexible work arrangements, including remote work options. Employee recognition programs and a collaborative team environment.