Job Description

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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:

Roles & Responsibilities:

• Proficient in distributed computing frameworks such as Spark and Kafka.
• Strong programming skills in Scala.
• Expertise in writing and understanding complex HQL\\SQL queries.
• Good hands-on experience to make oozie scheduling and error handling methodology.
• Experience with database architecture and design including scalability, performance and high availability.
• Ability to work independently in a fast-paced, iterative development environment.
• Strong communication skills and team player

Required Skills (Technical Competency):

• Innovate, design, develop data extraction, transfer and load programs for large data warehouse to achieve near real-time speeds
• Automate data collection, pre-processing, governance, and analysis.
• Work closely with platform and UI teams to implement the data processing logic using Scala, Spark batch & Spark Streaming.
• Communicate findings clearly and succinctly to technical and non-technical audience.

Desired Skills:

• Experience with being solution leader for data lake and data warehouse.
• Exposure to cloudera Hadoop ecosystem.
• Proficient in distributed computing frameworks such as Spark and Kafka.
• Strong programming skills in Scala.

About Company:

Over the past 25 years, we have built a business centered on engineering excellence to solve the most challenging problems for industry. We have deep expertise across the entire product life cycle and a breadth of engineering capabilities from mechanical to embedded software to digital. With our depth and breadth, we not only partner with our customers to tackle their most daunting challenges of today, we retain institutional knowledge to help them again and again. This depth and breadth position Quest Global to function quite uniquely as an extension of our customers' teams. Sure, we can supplement personnel during staffing crunches, but we can also take full ownership of projects as a trusted, strategic partner for the customers we serve.