Preparation should go beyond memorizing definitions. You should be ready to tell the "story" of your work—the challenges you faced, the technical hurdles you overcame, and the impact your solutions had on the business.

Role-related Knowledge – We expect a strong grasp of data modeling, SQL, and cloud infrastructure. Be prepared to discuss the "why" behind your tool choices, not just the "how."

Problem-solving Ability – We evaluate how you break down ambiguous problems. When faced with a coding or design question, communicate your thought process clearly before jumping into a solution.

Leadership and Collaboration – Even as an individual contributor, you must demonstrate the ability to manage team dynamics. We look for evidence that you can mentor others or drive projects forward through effective communication.

Culture Fit – At Arch Global Services Philippines, we value transparency and follow-through. Show us that you are reliable and that you take ownership of your tasks from inception to deployment.

The interview journey at Arch Global Services Philippines is structured to be thorough yet transparent. Candidates typically progress through an initial screening, followed by technical assessments and discussions with both peers and leadership. We aim to understand not just what you know, but how you apply your skills in real-world scenarios.

This timeline provides a high-level view of our evaluation stages, from your initial screening to the final managerial discussion. You should use this to pace your study schedule, ensuring you have enough time to review core concepts before the technical rounds. Note that the process may vary slightly depending on your specific team or location.

Technical Depth

We evaluate your ability to write clean, maintainable code and design scalable systems. You should be comfortable discussing the lifecycle of a data pipeline.

Be ready to go over:

• SQL Optimization: Advanced joins, window functions, and query performance tuning.
• Cloud Infrastructure: Best practices for implementing and securing services on major cloud providers.
• Data Modeling: Designing schemas for both analytical and operational workloads.

Example scenarios:

• "Walk us through your design for a scalable ETL pipeline from scratch."
• "How would you handle a sudden spike in data volume within your current architecture?"

Behavioral Competencies

We look for candidates who can navigate the nuances of a collaborative environment.

Be ready to go over:

• Conflict Resolution: How you navigate technical disagreements.
• Project Ownership: Examples of taking a project from requirement gathering to production.
• Adaptability: How you handle evolving project requirements or tight deadlines.

As a Data Engineer, your primary responsibility is to ensure the reliability and availability of our data assets. You will be expected to build robust pipelines that ingest, transform, and load data from various sources into our data warehouse.

You will work closely with Data Scientists and Business Analysts to understand their data requirements, ensuring that the datasets you provide are clean, well-documented, and performant. You are not just a builder; you are a partner in the data lifecycle, often tasked with automating manual processes and improving the overall efficiency of our data infrastructure.

A successful candidate for this position will demonstrate both deep technical expertise and a pragmatic approach to problem-solving.

• Must-have skills:

• Proficiency in SQL and at least one programming language (e.g., Python).

• Experience with Cloud Data Services (AWS, Azure, or GCP).

• Strong understanding of ETL/ELT processes and data modeling concepts.

• Nice-to-have skills:

• Experience with containerization technologies like Docker or Kubernetes.

• Knowledge of workflow orchestration tools (e.g., Airflow).

• Familiarity with Big Data frameworks or real-time data streaming.

Q: How difficult are the technical assessments? A: The difficulty is generally moderate. We focus on practical, real-world scenarios rather than obscure algorithmic puzzles. If you are comfortable with SQL and basic data architecture principles, you are well-positioned.

Q: What is the typical timeline from application to offer? A: While it can vary, the process usually takes 4–8 weeks. We aim to keep candidates informed at every stage to avoid unnecessary waiting.

Q: Does the company support remote work? A: We offer flexible working arrangements depending on the specific team and local office policies. Please discuss this with your recruiter during the initial screening.

Q: What differentiates a top-tier candidate? A: Beyond technical skills, we look for "ownership." The best candidates are those who can clearly articulate the business impact of their previous work and demonstrate a proactive attitude toward solving problems.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to ensure your responses are concise and impactful.
• Be honest about your experience: If you don't know the answer to a specific technical question, explain how you would go about finding the answer rather than guessing.
• Research our business: Understand the industry we operate in; knowing how we use data to solve specific business challenges will set you apart.

The Data Engineer role at Arch Global Services Philippines is a unique opportunity to shape the data-driven future of a global organization. By focusing your preparation on clear technical fundamentals, cloud proficiency, and the ability to communicate your impact, you will be well-prepared for the challenges ahead.

We encourage you to revisit your past projects and be ready to discuss them in detail. Remember that your interviewers are looking for a teammate as much as a technician; stay confident, remain engaged, and be your authentic self. We look forward to potentially working with you.