Position: Azure Data Engineer
Company: Fractal Analytics Pvt.Ltd.
Category: Data Science
Experience required: 1y
English level: intermediate

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 System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space
• Software development experience using object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET
• Database programming using any flavours of SQL
• Expertise in relational and dimensional modelling, including big data technologies
• Exposure across all the SDLC process, including testing and deployment
• Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.
• Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus

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.