What is a Data Engineer at GEP?
As a Data Engineer at GEP, you play a pivotal role in leveraging data to drive strategic business decisions and enhance product offerings. This position is essential for the design, construction, and maintenance of scalable data pipelines that facilitate the collection, storage, and analysis of vast amounts of data. Your work directly impacts the efficiency of business operations and helps in delivering insights that ultimately benefit GEP's clients and stakeholders.
You will be engaged in complex data architectures and work closely with cross-functional teams, including data scientists, product managers, and software engineers, to ensure that the right data is available at the right time. The complexity and scale of data handled at GEP present unique challenges, making this role not only critical but also intellectually stimulating. You will have the opportunity to work on innovative projects that influence data-driven decision-making across various domains, ultimately enhancing GEP’s market position and service delivery.
Common Interview Questions
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Curated questions for GEP from real interviews. Click any question to practice and review the answer.
Design a batch ETL pipeline that detects, imputes, and monitors missing values before loading analytics tables with daily SLA compliance.
Design a batch data pipeline with quality gates, quarantine handling, and monitored reprocessing for 120M finance records per day.
Design Terraform-based infrastructure as code for AWS data pipelines with reusable modules, secure state management, CI/CD, and drift control.
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Preparation is crucial to your success in the interview process at GEP. Focus on understanding both the technical and interpersonal aspects expected from a Data Engineer.
Role-related knowledge – This refers to your technical expertise in data engineering tools and methodologies. Interviewers will assess your comfort and familiarity with various technologies, including SQL, Python, Apache Spark, and data warehousing concepts. Demonstrate your hands-on experience and ability to apply knowledge to solve practical problems.
Problem-solving ability – This criterion evaluates how you approach complex challenges. You should be equipped to break down problems, analyze data, and propose effective solutions. Showcase your analytical thinking and ability to work through ambiguity.
Culture fit / values – GEP values collaborative and innovative individuals. Interviewers will look for candidates who align with their commitment to teamwork and customer-centric solutions. Illustrate your adaptability, communication skills, and alignment with company values.
Interview Process Overview
The interview process at GEP typically comprises multiple stages designed to evaluate your technical skills, cultural fit, and problem-solving abilities. Candidates can expect a structured approach, starting with an initial screening, followed by technical interviews involving coding and system design assessments, and concluding with behavioral interviews.
Throughout this process, the emphasis is on collaboration and data-driven decision-making. Expect a rigorous yet fair evaluation, where your ability to communicate effectively and demonstrate technical proficiency will be key. The process is designed to ensure that you not only possess the necessary skills but also resonate with the company's values and mission.
