Big Data Engineer

We are a leading technology company who constantly empowers people to envision and reach their full potential.

People are the foundation of our company. This is why we encourage and support them in every initiative and step of their career, valuing talent, energy and commitment over immediate resources’ availability and empty numbers. The engine of our growth and performance is being powered by their
open-mindedness, fairness, and team spirit.

What sets us apart is our ability to take up new challenges and learn every day in our common effort to exceed our customers’ expectations and expand the frontiers of technology innovation.

We identify gifted, open-minded and committed specialists, willing to evolve both as professionals and as human beings and we put all our efforts in helping them perform at their best.

We welcome people:
• Eager to take on new challenges and learn new things;
• Who put their heart, mind, and soul into everything they do;
• Who enjoy sharing knowledge and have team spirit.

If you are ready to engineer your future, join our team now!

If you are passionate and want to focus on development and integration of Big Data solutions with the latest technologies,we would like to invite you to be part of our team as a Big Data Engineer.

• Minimum 2 years’ technical experience in design, system installations, administration, and or support of critical business systems;
• Minimum 2 years’ experience with Azure in both PaaS and IaaS applications and builds. • Broad knowledge in terms of serving layer options: HD Insight, Hadoop, Spark, Cosmos DB, Azure SQL, Azure SQL Datawarehouse, Analysis Services and defining which one should be used for the business requirements
• It can be a plus the experience working with:
- Azure Data Factory
- Azure Data Lake (structured and unstructured data storage)
- Azure Big Data Analytics
- Azure Machine Learning
• Ability to code in different languages: C#, R, SQL, Python, etc.

•Define and assess about the infrastructure and resources required from Azure Paas.
•Support the different proof of concepts in the Azure Solutions portfolio and integration with other clouds and backends.
•Provide sizing and requirements to install different Azure resources, including data storage, data transformation, serving layer.
•Ability to identify the different options for data ingestion from MS Azure offering and matches with the business requirement – streaming, sftp, data factory and also SDI to get data from SAP BW.
•Ability to identify the data transformation offering from Azure – data bricks, data analytics and define which one to be used according to the transformation requirements.
• Ability to code in different languages: C#, R, SQL, Python, etc.
• Sizing the storage and computing requirement.
• Recommend / Apply known best practices to ensure sustainability and scalability.
• Full understanding of MS azure services management /provisioning/configuration.