Country : Poland
Cities : Krakow, Wrocław
Area of expertise : Analytics
Do you love making sure that information is available and consumable? So do we.
You’re a data designer who knows how to find, store and present a range of information from different sources so that everyone can access what they need quickly and simply, and use it effectively.
You draw on your considerable experience in bringing data and statistics to life to solve sometimes complex problems, and you’re comfortable looking after several projects at once.
You’re able to make your own decisions while at the same time supporting more junior team members.
About the job
As a Consultant, Data Engineering, you know the importance of data to business. You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making.
You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis.
Day to day, you will :
Use your knowledge to plan and deliver data warehouse and storage
Take part in designing and running bespoke data services for individual projects
Stay up to date with leading edge processes in using and retrieving data
Design, develop, adapt and maintain data warehouse architecture and relational databases that support data mining
Customize storage and extraction, metadata, and information repositories
Craft and use effective metrics and monitoring processes
Help to develop business intelligence tools
Support deal teams by providing subject knowledge and solutions for client proposals
Author reports that include key performance indicators, show where current operations can be improved, and identify the causes of any problems
Create and maintain report forms and formats, information dashboards, data generators and canned reports, as well as other information portals and resources
Travel as required.
You've got solid experience in data and analysis, and how to source, store and share information, you are a problem solver who’s happy to work autonomously and to share their knowledge and skills, as well as guiding other team members.
Your skills and experience include :
Database, storage, collection and aggregation models, techniques and technologies and how to apply them in business
Employing statistical and data visualization tools and techniques
Experience in structured problem solving
Great project and people management
The ability to apply such methods to tackle business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Knowledge of .NET C# and T-SQL
Azure Data Factory, Azure Data Lake, Azure Synapse Analytics experience
Big Data or IoT experience such as : Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics
Knowledge of Dev-Ops processes (including CI / CD) and Infrastructure as code fundamentals
Experience preparing data for Data Science and Machine Learning
Azure Machine Learning (Machine Learning Algorithms, Hyper parameter training, MLFlow, Machine Learning Operations, MLFlow), Azure Cognitive Services, DSVM.
You’re likely to have a Bachelor’s degree in IT, Applied Mathematics, Statistics or another related field, or an equivalent combination of education and experience.
You also have three to five years of meaningful professional experience.