Position: GCP Engineer
Company: Fractal Analytics Pvt.Ltd.
Category: Data Science
Experience required: 1y
English level: upper
Published: 2020-11-01T00:00:00+02:00

**Responsibilities:**

• Be an integral part of large-scale client business development and delivery engagements
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
• Build the knowledge base required to deliver increasingly complex technology projects

**Qualifications & Experience:**

• A bachelor’s degree in Computer Science or related field with 1-3 years of technology experience
• Strong experience in Google Cloud Platform (GCP), System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space
• Software development experience using:
o Object-oriented languages (e.g. Python, PySpark) and frameworks
o Database programming using any flavours of SQL
o Expertise in relational and dimensional modelling
o Exposure across all the SDLC process, including testing and deployment
o Experience to cloud GCP (Google Cloud Platform)
• Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in GCP
• Characteristics of a forward thinker and self-starter that flourishes with new challenges and adapts quickly to learning new knowledge
• Ability to work with a global team of consulting professionals across multiple projects
• Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems
• Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success

**We offer:**

• Best team: a multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);
• Challenge: plenty of complex and exciting projects from international clients;
• Income: competitive salary and end-year bonuses;
• Travelling: possibility to travel onshore and clients’ side;
• Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs;
• Being healthy: free insurance after probation period; paid vacation;
• Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.