Data analytics tools, manage multi BI tools (one of them Power BI). Design and build Data store
Experience with DATAHUB solutions which include ODL(Operational Data Lake), ODS (Operational Data Store) and ADL(Analytic Data Lake).
Clouds generally and proficiently build the Cloud-Native solutions and tools to design BigData
BigData Processing/Transformation technologies generally and associated with Cloud technologies specifically. Power BI and other tools
BigData Storage technologies generally and associated with Cloud technologies specifically.
BigData Access technologies generally and associated with Cloud technologies specifically.
BigData technologies generally and associated with Cloud technologies specifically.
Data communication. You can turn complex data into clear, simple, and actionable stories. You will share data communication skills with the team and across the consumers, power users
Data innovation. You can identify areas of innovation in data tools and techniques and recognize appropriate timing for adoption.
Data modeling. You understand the concepts and principles of data modeling and can produce relevant data models across multiple subject areas You understand industry-recognized data modeling patterns and standards and know when to apply them. You can compare and align different data models.
Onboarding & Management of Data Producer/Consumer Applications
SQL, Pyton skills, ETL
Power BI roll out
Customizable Transformation standard reports to Data set and Data Store
Application, Data Source, Job, Job Data, Job Steps, and Data Access Taxonomies
Standardized Query API (e.g., J/ODBC) Data Access Interfaces
Standardized Export API, Bucket Endpoint & Notify Data Access Interfaces
RBAC (Role-Based Access Controls)
TLS (in-flight) & TDE (at-rest) Encryption capabilities
Operational Metrics & Monitoring capabilities
Data Platform Resource Utilisation Tracking & Cost Allocation capabilities
Data Catalog UI
VDI Workbench Portal UI
Job Management UI
Join a large international company that gives possibility for professional and personal growth
Involvement in challenging, large-scale and diverse projects which have impact for the customers
Knowledge sharing with colleagues from abroad strong IT community including 14 Raiffeisen Group Banks
Official employment, 28 days of paid vacation
In-company events and involvement into social projects
— design and development of data processing pipelines for ML solutions
— building cloud native deliveries for on-premise Kubernetes cluster or AWS deployment
— interacting with stakeholders for requirements elicitation
— research and prototyping of promising tools/approaches/practices with further implementation
— managing knowledge base / technical documentation for developed solutions
— participating in Enterprise Data Platform design and development
We are looking for highly motivated and result-oriented senior data engineer, who can join our team for development self-service analytics approach.
Team will be responsible for analytics platform design and development with ambition plan grow into Big data with focus to self -service.