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      Incedo

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      Associate Data Engineer Interview

      11 Dec 2024
      Anonymous interview candidate
      Jersey City, NJ

      Other Associate Data Engineer interview reviews for Incedo

      Associate Data Engineer Interview

      23 May 2023
      Anonymous interview candidate
      No offer
      Positive experience
      Average interview
      No offer
      Negative experience
      Average interview

      Application

      I applied through university. I interviewed at Incedo (Jersey City, NJ)

      Interview

      Sr. Director screwed it. He was not in a mood of selecting any candidate that day. May be he had a argument with someone. Rest all was perfect. They asked DBMS quesTion like rank and dense rank. Department wise 2nd highest salary. Lag vs lead

      Interview questions [1]

      Question 1

      Why did you come to US?
      Answer question

      Application

      I applied online. I interviewed at Incedo in May 2023

      Interview

      Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions.

      Interview questions [1]

      Question 1

      Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects
      Answer question