Data Engineering Manager Interview Questions and Answers

Design a data model to incentivize food delivery boys based on KPIs.

• Identify relevant KPIs such as delivery time, customer satisfaction, order accuracy, etc.

• Assign weights to each KPI based on their importance.

• Calculate a composite score for each delivery boy based on their performance on each KPI.

• Design a reward system based on the composite score, such as bonuses or promotions.

• Track and analyze the impact of the incentive program on delivery boy performance and overall busi...read more

Hadoop is a distributed open-source framework for storing and processing large datasets, while GCP (Google Cloud Platform) is a cloud computing service that offers various data processing and storage solutions.

• Consider the size and complexity of your data: Hadoop is better suited for large-scale batch processing, while GCP offers more flexibility and scalability for various types of workloads.

• Evaluate your team's expertise: Hadoop requires specialized skills in managing and m...read more

Calculate the height of a tree using tree traversal algorithm.

• Use depth-first search (DFS) or breadth-first search (BFS) to traverse the tree and calculate the height.

• For DFS, recursively traverse each subtree and return the maximum height of the left and right subtrees.

• For BFS, use a queue to traverse each level of the tree and increment the height at each level.

• The height of a tree is the number of edges on the longest path from the root node to a leaf node.

Data pipeline implementation involves extracting, transforming, and loading data for analysis and storage.

• Identify data sources and requirements

• Extract data from sources using tools like Apache NiFi or Talend

• Transform data using tools like Apache Spark or Python scripts

• Load data into storage systems like Hadoop or AWS S3

• Monitor and optimize pipeline performance