... the proprietary Smart Kitchen Operating System (SKOS), an in-house suite ... as strong technical skills in data analysis, statistics, and data warehousing. Experience with data visualization tools such as Tableau ...
15 000 - 17 500 PLN net/month... , SQL, MySQL, PostgreSQL, MongoDB, CassandraOperating system, WindowsAbout the project, We are looking for experienced Big Data Engineer specializing in Scala, Hadoop, ...
... emerging trends and technologies in data engineering and recommend improvements to existing systems and processes Qualifications and background ...
7 200 - 8 800 EUR net/month... and implementation of a complex system of smart data solutions have opportunity to work ... ) experience with working with large data sets through Spark and RDBMs experience with versioning systems (e.g. Git) ability to ...
... and implementation of a complex system of smart data solutions have opportunity to work ... ) experience with working with large data sets through Spark and RDBMs experience with versioning systems (e.g. Git) ability to ...
... sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine ... GCP Working with Spark messaging systems Understanding of Data Modeling -designing and defining data structures and relationships tailored for ...
... , lotteries, online casino, sportsbook, game systems and managed services offered industry leading platforms. The Data & BI team owns the group’s Data & Analytics platforms spanning Data Engineering, Analytical Engineering and Business ...
... and implementation of a complex system of smart data solutions have opportunity to work ... ) experience with working with large data sets through Spark and RDBMs experience with versioning systems (e.g. Git) ability to ...
... and implementation of a complex system of smart data solutions have opportunity to work ... ) experience with working with large data sets through Spark and RDBMs experience with versioning systems (e.g. Git) ability to ...
... the deployment of a comprehensive data quality strategy, based on common data quality needs across regions segments. Conduct thorough assessments of data quality across diverse datasets, systems, and process. Identify and prioritize ...