As a Senior Data Intelligence Engineer, you will be responsible for developing and applying a broad range of techniques and theories from to deliver actionable business insights to prospects and customers based on large-scale data. You should be able to works under little to no supervision with internal and external teams to understand customer requirements. You shall be able to lead and perform end-to-end steps involved in model development, while establishing subject-matter expertise in key horizontal or vertical themes. You will work with Finance – Global Audit Team. You will: • Execute preliminary data exploration, data preparation steps and variable/algorithm selection as well as model development/validation and scoring. • Deliver results and presentations in a timely manner. • Generate new product requirements for the engineering group to enhance the analytics capabilities of the big data platform, in alignment with emerging subject-matter expertise. • Serve as spokesperson on specialized projects and act as prime consultant on large projects and may be an informal team leader.
Employee perks, benefits
• Private medical care • Sick days / extra vacation • Remote allowance • Home office setup • Private employee gym
Secondary with school-leaving examination
Follow-up/Higher Professional Education
University education (Bachelor's degree)
University education (Master's degree)
Information Technology or Telecommunications
Language and language level
English - Upper intermediate (B2)
SQL - pokrocily
Extract / Load / Transform - E - pokrocily
Data Warehouse - pokrocily
Number of years of experience
Personality requirements and skills
Essential Requirements: • 5+ years of direct experience working with MPP Data-warehousing technologies like Teradata or Greenplum and ETL tools like Informatica or StreamSets • Knowledge of Pub/Sub tools like Kafka • Advanced hands-on coding ability in SQL (DDL, DML, procedural) • Comfortable with ETL and data pipelines concepts Desirable Requirements: • 8+ years of relevant IT experience in Data-warehousing technologies with excellent communication and analytical skills • Bachelor of Engineering or Master of Computer Applications Experience working with Big Data technologies
Information about the selection process
The number of job openings
A brief description of your client
Computer technology company that develops, sells, repairs, and supports computers and related products and services.
Your client's core business
Information technology, computer programming, web portals
Contact person: Radovan Horváth
Email: [email protected]
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