More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
&##We are looking for a Senior Data Engineer working close to one of our main clients in financial sector.
&##Work with stakeholders within business and technology to understand the business needs and help to design and implement optimal solutions fostering data-driven culture in the organisation
Lead strategic prototyping workshops to better understand objectives through quick feedback loops and collaborate effectively across Global Technology Shared Services (InfoSec, Infrastructure, Production Support, etc) to productionise the successful solutions
Understand differences in the approach for building self-service BI (business or IT managed) vs Corporate BI solutions including the choice of data sources and ETL approach
Drive reporting efficiencies by categorizing internal practices for streamlined reporting and define a vehicle for sharing with others, including trainings for Power BI report designers and data modellers, as well as for Power BI report consumers
Act as a Power BI product evangelist to build awareness and understanding, be up to date with the changing technology landscape, help to better understand the use cases for the Power Solutions including when the alternatives would be a better fit.
Contribute into the Power Platform centre of excellence within the firm to create the governance structure for the implementation of PowerBI Assess adoption and customer satisfaction working collaboratively with product teams including UX specialists.
Highly skilled in data analysis, data modelling and designing ETL processes
~+10 years experience as Data Engineer
~ Expert at SQL with experience in performance tuning and dealing with large data volumes
~ Good understanding on concepts of enterprise big data architectures
~ This includes Azure Synapse, Azure SQL Database, SSAS.
~ Knowledge of Azure platform including Data Lakes, Data Warehouse, Azure Data Factory.
~ Experience and good understanding of the full Software Development Lifecycle, including the use of Azure DevOps, Visual Studio (SSDT) for continuous integration and deployment
~ Understanding security model designs within the data estate
~ Good english level (C1) you will be working with international teams.
Experience in consuming data using data interfaces such as APIs, snowflake, Databases, various file format types.
Understanding of Data Quality approaches such as shift left
&##Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
&##Retribución Flexible ́ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan...)
&##Free access to several training platforms
&##Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)
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