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      Entrevista de Data Engineer

      7 abr 2026
      Candidato de entrevista anónimo
      New York, NY
      Sin oferta
      Experiencia negativa
      Entrevista fácil

      Solicitud

      Solicité el puesto por otro medio. El proceso duró 3 semanas. Acudí a una entrevista en Blackstraw (New York, NY) en mar 2026

      Entrevista

      1) Recruiter Call - 10 minutes recruiter discussion about role 2) Technical Interview - 30 minutes Technical discussion based on Resume , Pyspark, Databricks 3) HR discussion - 30 minutes the interviewer was 10 minutes Late

      Otras opiniones sobre las entrevistas para el puesto de Data Engineer en Blackstraw

      Entrevista de Data Engineer

      5 may 2026
      Candidato de entrevista anónimo
      Pallāvaram
      Sin oferta
      Experiencia positiva
      Entrevista fácil

      Solicitud

      Solicité el puesto en persona. Acudí a una entrevista en Blackstraw (Pallāvaram) en abr 2026

      Entrevista

      I attended a walk‑in interview at BlackStraw. The process had three rounds: Round 1 – HR Intro Self‑introduction. Questions from my resume. Reason for leaving previous company. Do you have any other offers? Round 2 – Technical Round Self‑introduction. What is SCD (Slowly Changing Dimension) and its types? Which type of join would you use if one table is large and the other is small? How will you increase the performance of a query in SQL or PySpark? Difference between repartition and coalesce in PySpark. What is incremental data loading? How do you implement incremental data loading? What are the types of transformers? Difference between view and materialized view Round 3 – Managerial HR Round Self‑introduction. General discussion about background, expectations, and cultural fit. Do you have any other offers?

      Preguntas de entrevista [1]

      Pregunta 1

      Round 1 – HR Intro Self‑introduction. Questions from my resume. Reason for leaving previous company. Do you have any other offers? Round 2 – Technical Round Self‑introduction. What is SCD (Slowly Changing Dimension) and its types? Which type of join would you use if one table is large and the other is small? How will you increase the performance of a query in SQL or PySpark? Difference between repartition and coalesce in PySpark. What is incremental data loading? How do you implement incremental data loading? What are the types of transformers? Difference between view and materialized view Round 3 – Managerial HR Round Self‑introduction. General discussion about background, expectations, and cultural fit. Do you have any other offers?
      Responder pregunta
      1

      Entrevista de Data Engineer

      8 ene 2025
      Candidato de entrevista anónimo
      Chennai
      Sin oferta
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Envié una solicitud electrónica. Acudí a una entrevista en Blackstraw (Chennai) en dic 2024

      Entrevista

      First Round was taken by HR. He asked me few questions about myself, project and asked a couple of technical questions as an initial screening. It was followed by 2 technical rounds. HR : M*h*rz*d Technical1: S**t** Technical2: M*h*m*d D*w**d*

      Preguntas de entrevista [1]

      Pregunta 1

      1. What are the differences between snowflake schema and star schema? 2. Get the nth highest salary in each department from employee table. Was asked to write the sol in both SQL and PySpark 3. Write the python program for fibonacci series 4. What happens when you submit a job to spark ? 5. What is DAG? 6. What is the difference between Stages & Task in spark? 7. Can Stage and Task run in parallel? 8. Identify whether the given operations [select, filter, join, group by] are transformation or action ? 9. How do you implement incremental data loading? 10. Given 2 tables, each table has single column ID, get the values that are present in table B but not in table A. tableA [ ID : 1 2 3 4 5] tableB [ ID : 4 5 6 7] Expected Output : [6 7] 11. Pyspark coding question on split and explode functions.
      Responder pregunta
      2