Data Engineer

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.

Responsibilities :

• Design and implement machine learning models to solve real-world business problems.
• Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
• Develop and maintain data pipelines for efficient data ingestion and processing.
• Clean, transform, and analyze large datasets using programming languages like Python or R.
• Perform exploratory data analysis (EDA) to identify patterns and trends.
• Visualize data insights using appropriate tools (experience with BI tools a plus, but not mandatory).
• Communicate findings effectively to both technical and non-technical audiences.

Desired Skills : Screening CriteriaL6 RoleTech StackDesired Relevant Exp (hands-on)Desired Minimum Proficiency Score (out of 10)Mandatory Skills Python6+7SQL6+7Google Cloud1+7PowerBI1+5BigQuery1+7Data pipelines4+7Agile1+7Communication Skills8