At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
The candidate will cooperate with both Quest Global and Quest Global customer teams within a collaborative development framework.
Write efficient and reusable code in Scala and/or Python (PySpark)
Process large-scale structured and unstructured datasets
Perform data transformations, aggregations, and joins across multiple sources
Optimize Spark jobs for performance and resource utilization
Work with distributed storage systems like S3 / HDFS
Debug and troubleshoot production data issues
Collaborate with data engineers, analysts, and stakeholders
Ensure data quality, consistency, and reliability
Collaborating with cross-functional teams to analyze, design, and implement new applications.
Ensuring optimal performance, quality, and responsiveness of the application/services.
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We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Required Skills
Strong hands-on experience with Apache Spark
Proficiency in Scala and/or Python (PySpark)
Good understanding of Spark internals (RDD, DataFrame, Dataset APIs)
Experience with data formats like Parquet, Avro, JSON
Familiarity with distributed systems and big data concepts
