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      Data Engineer Interview

      Oct 6, 2025
      Anonymous employee
      Noida
      Accepted offer
      Positive experience
      Average interview

      Application

      I interviewed at Optum (Noida)

      Interview

      I had 3 rounds in total. 1st was technical. 2nd was Managerial and finally HR round. Technical was good. Easy to moderate questions. Managerial was more focused on collaboration and unexpected things during work. Overall it was good.

      Interview questions [1]

      Question 1

      If you are working on some project and suddenly fell it. How can you make sure your someone will take you unfinished work and continue on it?
      Answer question

      Other Data Engineer Interview Reviews for Optum

      Data Engineer Interview

      Mar 13, 2026
      Anonymous employee
      Gurgaon, Haryana
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Optum (Gurgaon, Haryana)

      Interview

      They asked questions on SQL, Python, PySpark, cloud technologies, and other related topics. The discussion covered concepts, practical scenarios, and some questions related to data processing and big data environments.

      Interview questions [1]

      Question 1

      Sed command and it's working
      Answer question

      Data Engineer Interview

      Oct 9, 2025
      Anonymous Interview Candidate
      No offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Optum

      Interview

      Application and Screening Candidates apply online through the Optum or UnitedHealth Group job portal, or via organized hiring challenges and campus placements. Initial screening is usually conducted by a recruiter through a phone or video call, focusing on core qualifications, skills, experience, and interest in the role. Assessments and Interviews Applicants may be required to complete an online aptitude or technical test, depending on the job type; for technical roles, tests may focus on coding, SQL, math, English, and critical thinking. Group Discussion rounds are sometimes included for fresher and entry-level roles, assessing communication, teamwork, leadership, and current affairs knowledge.

      Interview questions [1]

      Question 1

      Common Technical Questions Describe a data pipeline project you have worked on, including technologies and challenges faced. How do you handle skewed data in Spark? What’s the difference between cache() and persist() in Spark—when would you not use them? How do you tune Spark jobs (shuffle partitions, broadcast joins, etc.)? Explain how you’d implement Change Data Capture (CDC) in a PySpark pipeline. Discuss your experience with Microsoft Azure for data engineering projects (e.g., Azure Data Factory, Azure Databricks). Write a recursive CTE to flatten a parent-child hierarchy in SQL. How do you manage performance bottlenecks with millions of rows—indexing, query plans, etc.? How do you ensure data security and compliance, particularly on cloud platforms like Azure (discuss encryption, RBAC, Key Vault)? How do you handle NULL values in columns using PySpark (e.g., replace with preceding non-NULL value)? T-SQL logic to implement slowly changing dimension type 2 (SCD2) without using MERGE. Design a schema for tracking insurance claims lifecycle and handling versioning. Trade-offs between Data Flows and Stored Procedures in ADF (Azure Data Factory). Approaches to historical data archiving in large-scale data warehouses. How do you optimize costs when running data workloads on cloud platforms (Azure)? Discuss partitioning strategies in Synapse and how they can fail. Experience integrating healthcare-sensitive data with security and compliance controls.
      Answer question

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