Information Resource Group (IRG) is a leading technology solutions provider specializing in delivering innovative data engineering services. With extensive industry experience, IRG is committed to driving digital transformation and improving business outcomes for clients across various sectors.
We are seeking a highly skilled Azure Data Engineer with expertise in developing ETL processes, designing data warehouse structures, and creating Synapse pipelines. The ideal candidate should possess strong analytical skills, problem-solving abilities, and be capable of working both independently and as part of a team.
Prepare thoroughly and gain insights to increase your chances of success in landing this exciting role at Information Resource Group.
Typically, interviews at Information Resource Group vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.
The first step to becoming an Azure Data Engineer at Information Resource Group is to submit a compelling application that showcases your technical skills and passion for the role. Carefully review the job description and tailor your resume to align with the required skills and responsibilities mentioned.
Tailoring your CV may include highlighting your experience with T-SQL, ETL processes, and Synapse pipelines. Make sure to include keywords like "data warehouse design," "T-SQL development," and "stored procedures" to help your application stand out. Additionally, a well-crafted cover letter that aligns your past experiences with the job requirements will further strengthen your application.
If your application catches the recruiter’s eye, you will be contacted for an initial screening call. During this call, a recruiter from Information Resource Group will verify key details such as your work experience, skill set, and availability. Be prepared to discuss your familiarity with database structures, ALM tools, and ETL processes.
In some cases, the recruiter may include behavioral questions to assess how well you work under time constraints and within a team environment. This call will generally last around 30 minutes.
Once you pass the initial screening, you will be invited to a technical virtual interview. In this 1-hour interview, you may be asked to solve problems related to rationalizing and mapping data between transactional and dimensional database models. The interviewer may also test your understanding of data warehouse schemas, stored procedures, and T-SQL development.
The technical interview may include practical exercises or problem-solving scenarios where you'll need to demonstrate your proficiency in creating ETL processes and Synapse pipelines. Expect questions related to continuous integration and the software development process as well.
If you make it through the technical virtual interview, you will be invited for onsite interview rounds. These interviews will take place at the Information Resource Group's office and may consist of multiple rounds.
During these onsite interviews, your technical and problem-solving skills will be evaluated in-depth. You may be presented with case studies, asked to design data structures based on business use cases, or asked to work on live coding problems.
If you were given any take-home assignments or exercises, be prepared to present your solutions and discuss your approach. Additionally, your ability to work both independently and as part of a team will be assessed through behavioral questions and collaborative tasks.
After successfully completing the onsite interviews, you may have a final round with senior management or team members. This is typically a discussion to ensure you are a good fit for the company culture and to address any final questions from either side.
If all goes well, you will receive an offer to join Information Resource Group as an Azure Data Engineer. Be sure to review the offer carefully and discuss any questions or concerns with the hiring manager before accepting.
Congratulations, and best of luck in your new role at Information Resource Group!
Practice for the Information Resource Group Data Engineer interview with these recently asked interview questions.