We software because we care, since 2002.
Through our international projects we are present at Global and European scale in industries like travel, banking, retail, food and telecommunications. Our commitment to excellence lay down immutable core values of our culture and of our vision.
Through our clients we were able to enrich the experience and quality of interaction with software applications for millions of end users. We have redefined concepts for over a decade and a half and marked the change by creating new environments. We accepted many challenges due to impetuous needs of our clients for discovering new ways to enhance the usability of computers, software applications and complex systems. Leveraging creativity and constantly preoccupied with usability, we continue to invent tools and innovate the delivery of services.
Our major skills:
- creating innovative ways for services delivery;
- inventing tools, environments and daring approaches;
- discovering new methods to enhance the usability of computers, software applications and complex systems.
The Data Engineer will work directly with Data Architects to convert the big data vision into a reality. The individual in this role possesses a deep level of programming experience and technical experience across a wide array of products and technologies. Further, the Data Engineer understands how to apply technologies to solve big data problems, and has the ability to build large-scale data processing systems for the enterprise. They will develop, maintain, test and evaluate their solutions with a larger team, and provide necessary feedback and recommendations as needed. Fundamentally, this individual will leverage data management processes, available infrastructures, and API tools to develop codebases and solutions that will directly impact the success of our clients.Responsabilitati
-Deep experience with Software Development Lifecycle and Programming Best Practices
-Mid to Expert Level programming capabilities in a large-scale enterprise, using Python, Java or Scala
-Minimum 2 years of Data Engineering Experience (Creating pipelines / workflows for Source to Target)
-Experience with Distributed Versioning Control environments such as GIT
-Familiarity with development tools (experience on either IntelliJ / Eclipse / VSCode IDE, Build Tool Maven)
-Experience on Azure cloud is preferred (Data Factory, Databricks, Data Lake Storage is preferred)
-Experience on DevOps is preferred-
-Strong Mathematical Skills
-Containerization platforms such as Docker, OpenShift-Pipeline and Packaging applications such as Microsoft Azure Pipelines, Jenkins, and Maven
-Ability and willingness to take Azure Certification training and pass exam for the Cert (Azure Data Engineer -DP200 & DP201)
-Those having an existing certification on Big Data or Cloud will be preferred