PrismHR is a dynamic SaaS company specializing in cloud-based payroll processing software. With a mission to provide efficient and seamless professional services, PrismHR drives the transformation of HR management through innovative technology. PrismHR is now seeking passionate Data Engineers to join its robust data engineering team. This role focuses on building and optimizing the foundational data architecture to enable smooth product experiences. As a Senior Data Engineer, you will be integral in migrating relational databases to a big data architecture and constructing a data warehouse and streaming platform. This opportunity at PrismHR promises career growth in an open, collaborative environment, implementing cutting-edge technologies and best practices. Join PrismHR to shape the future of HR tech and make a meaningful impact. To prepare for your interview process, utilize Interview Query for valuable insights and practice questions tailored to PrismHR.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining PrismHR as a Data Engineer. Whether you were contacted by a PrismHR recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the PrismHR Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the PrismHR hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the PrismHR Data Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around PrismHR’s data systems, ETL pipelines, and Scala programming.

In the case of Data Engineer roles, take-home assignments regarding data streaming, real-time analytics, and batch processing are incorporated. Apart from these, your proficiency against unit testing, data lineage tracking, and automation may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the PrismHR office. Your technical prowess, including data architecture and programming capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Engineer role at PrismHR.

Quick Tips For PrismHR Data Engineer Interviews

1. Understand the Migration Process: Given that PrismHR is heavily involved in migrating from relational databases to a streaming and big data architecture, familiarize yourself with the challenges and solutions involved in such a transition. Be ready to discuss your experience with similar projects.

2. Proficiency in Scala and Streaming Technologies: Ensure your skills in Scala are sharp, and you have a solid understanding of streaming technologies like Kafka, Kinesis, or Flink, as these are critical requirements for the role.

3. Collaborative Mindset: PrismHR emphasizes cross-functional teamwork and mentorship. Prepare to demonstrate your ability to work collaboratively and provide mentorship, ensuring you've examples to share that align with these values.

Typically, interviews at Prismhr vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: What's the time complexity?

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Write a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, then return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

• Why might the number of job applicants be decreasing while job postings remain constant? You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, what changes would you make to improve them, and what common problems are seen in "messy" datasets?

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• Write a function to calculate sample variance from a list of integers. Create a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example: Input: test_list = [6, 7, 3, 9, 10, 15] Output: get_variance(test_list) -> 13.89

• Is there anything fishy about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• Write a function to return the median value of a list in O(1) time and space. Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space. Example: Input: li = [1,2,2] Output: median(li) -> 2

• What are the drawbacks of the given student test score data layouts? You have data on student test scores in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, and how would you assess its performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain the process by which a random forest generates its forest. Additionally, discuss why one might choose random forest over logistic regression for certain problems.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm and discuss the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier for emails? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to track the model's accuracy and validity?

What is the average salary for a Data Engineer at Prismhr?

Q: What are the key responsibilities of a Data Engineer at PrismHR?

As a Data Engineer at PrismHR, you'll help build our next-generation data warehouse and event stream platform. You'll translate user requirements for reporting and analysis into actionable deliverables, enhance automation and operations, and manage projects in a dynamic work environment. You will also mentor fellow team members and collaborate to ensure top-notch security, performance, and reliability.

Q: What qualifications are required for the Data Engineer position at PrismHR?

You need a Bachelor's or Master's degree in Computer Science, Information Systems, Operations Research, or a related field. Additionally, you should have 5+ years of experience building data pipelines and data frameworks for unit testing, data lineage tracking, and automation. Proficiency in Scala and working knowledge of Apache Spark and streaming technologies (like Kafka, Kinesis, and Flink) are also required.

Q: What makes PrismHR an appealing place to work?

PrismHR is a fast-paced SaaS company offering a mix of innovative technology and professional services. The company fosters a culture of inclusivity and values diversity. Employees benefit from a collaborative work environment, hands-on mentorship, and numerous opportunities for career growth. Plus, the option for remote work adds flexibility.

Q: What does the interview process for a Data Engineer at PrismHR involve?

The interview process generally includes a screening call with HR, technical rounds to assess your data engineering skills, and possibly a case study or problem-solving session. You will also be evaluated on your cultural fit with the company and alignment with its values.

Q: How can I prepare for my interview at PrismHR?

To prepare for an interview at PrismHR, research the company and its products, brush up on your Scala, Apache Spark, and ETL skills, and practice common data engineering problems. Leveraging resources like Interview Query can also give you an edge by offering guided practice tailored to data engineering roles.

Embark on an exciting career journey with PrismHR, where you get to shape data architectures and drive seamless product experiences. Our robust data engineering team is charting new territories, and we're eager for passionate Data Engineers to join us as we revolutionize from relational databases to a cutting-edge streaming and big data ecosystem. This is your chance to engage with real-time analytics, optimize automation, enhance performance, and propel our business forward.

If you're keen to learn more about PrismHR and how to ace the interview process, check out our comprehensive PrismHR Interview Guide on Interview Query. Here, you'll find valuable insights into the interview questions you might face, and you can also explore guides for related roles like software engineer and data analyst.

At Interview Query, we provide all the tools you need to excel in your interview, ensuring you're well-prepared to tackle any question or scenario thrown your way. Check out our company interview guides for more tips and insights.

Good luck with your PrismHR interview!