Data Analyst

Quest Global is an organization at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.

As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills :

Job Description

Bachelor / master’s degree in computer science, Information Technology, or related field.

• 3 to 5 years’ relative experience with GCP (Google Cloud Platform) based tools (Ex : Big Query, Cloud Composer, Data Fusion, Pub / Sub)
• Overall experience should not exceed more than 5 years for this role.
• Strong experience with data modeling, ETL, and data warehousing concepts
• Strong coding skills in languages such as Python or Java
• Experience with DevOps tools and techniques (Ex : CI / CD, GitHub, Terraform, etc.) is an added advantage.
• Experience using Agile methodology to perform software development.
• Knowledge of cloud security and compliance standards
• Knowledge of Tableau or other Data visualization tool is a plus
• Knowledge of SQL and database design principles
• Understanding on Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions
• Having Manufacturing domain experience is great value ad , but not a mandatory
• Having knowledge of People soft / Project Portfolio Management / Product Lifecycle Management / ERP / Active Directory / Oracle BI tools are value ad.