Fanatics Data Engineer 3 Interview Questions and Answers

Q1. What is your with career ?
Ans. 
I am passionate about data entry and aim to grow in this field by improving my skills and taking on new challenges.
• I have a strong attention to detail, ensuring accuracy in data entry tasks.

• I am proficient in using data entry software and tools, such as Microsoft Excel.

• I am eager to learn and adapt to new technologies and processes in the data entry field.

• I have experience in handling large volumes of data and meeting ...read more
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Q2. What is your graduation background.
Ans. 
I have a Bachelor's degree in Computer Science.
• Bachelor's degree in Computer Science

• Specialization in data management and analysis

• Relevant coursework in database management systems

• Hands-on experience with data entry software
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Q1. Motivation and career goals
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Q2. Why are you intrestedin this position ?
Ans. 
I am interested in this position because of my strong data entry skills and passion for organizing information efficiently.
• I have excellent typing speed and accuracy, which are essential for this role.

• I enjoy working with data and organizing information in a systematic way.

• I am detail-oriented and have a strong attention to accuracy, which is crucial for data entry tasks.
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Q1. What motivation ypu tp perfrom well at work ?
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I am motivated to perform well at work by setting personal goals, receiving recognition for my achievements, and enjoying a sense of accomplishment.
• Setting personal goals helps me stay focused and driven

• Receiving recognition for my achievements boosts my morale and motivates me to continue performing well

• Enjoying a sense of accomplishment from completing tasks successfully drives me to excel in my work
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Q2. What are your biggest weaknesses.
Ans. 
One of my biggest weaknesses is that I can be overly critical of my own work.
• I tend to be a perfectionist and can spend too much time on a task trying to make it perfect.

• I sometimes struggle with delegating tasks to others because I want to ensure they are done correctly.

• I can be too hard on myself when I make a mistake, which can affect my confidence.
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Q1. Work ethic and adaptabllity.
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Q2. How do you handle pressure and deadlines ?
Ans. 
I handle pressure and deadlines by prioritizing tasks, staying organized, and maintaining open communication with team members.
• Prioritize tasks based on urgency and importance

• Break down tasks into smaller, manageable chunks

• Set realistic goals and deadlines

• Stay organized with to-do lists and calendars

• Communicate with team members about progress and potential challenges
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Q1. Why did you choose this career
Ans. 
I chose this career because of my strong attention to detail and passion for organizing data.
• I have always been detail-oriented and enjoy working with data

• I find satisfaction in organizing information and ensuring accuracy

• I believe my skills are well-suited for the role of a Data Entry Operator
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Q2. What are your greatest strenth
Ans. 
My greatest strength is my attention to detail and accuracy in data entry tasks.
• Strong attention to detail

• High level of accuracy

• Ability to work efficiently and effectively under pressure

• Experience with various data entry software and tools
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Q1. What is your graduation background
Ans. 
I have a Bachelor's degree in Computer Science.
• Bachelor's degree in Computer Science

• Specialized in data management and analysis

• Completed courses in database management and programming languages
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Q2. What is your collage name
Ans. 
I attended XYZ College for my degree in Computer Science.
• XYZ College

• Degree in Computer Science

• Graduated in 2020
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Q1. How do you plan to overcome your weakness
Ans. 
I plan to overcome my weakness by acknowledging it, seeking feedback, setting goals for improvement, and practicing regularly.
• Acknowledge the weakness and accept it as an opportunity for growth

• Seek feedback from colleagues or supervisors to understand how the weakness impacts your work

• Set specific goals for improvement and create a plan to achieve them

• Practice regularly to strengthen the skills associated with the weak...read more
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Q2. Why are you intrested in this position
Ans. 
I am interested in this position because I have strong data entry skills and enjoy working with data.
• I have a strong attention to detail which is essential for accurate data entry

• I enjoy organizing and categorizing information

• I have experience using data entry software such as Microsoft Excel
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Work done from all assigments

Q1. Resume screening Self introduction Roles and responsibilities
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Given task Statics standard deviations Attrition Average of given table values and Given graph economi graph and poverty graph base on that need to gave answers 30 qustion and 60 min time duration

Q1. Versant test should be need to attend Hirepro will have interview prosess in YouTube will check and prepare mid level hard
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Q2. We can goo for online prosess how it is
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Q1. Manger Level round they will ask KPI NPS AHT standard deviations Service Level handling Root cause Analysis Weighted average Same product how will calculate Totall Swer % how will get Many of like bpi <20 ...read more
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Q1. Salary discussion and update structure of our role and responsibilities
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Q1. SQL medium questions to be done in Pyspark parallely.
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Q2. Datafactory and other azure resources scenario based
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Q1. Project discussion with the team lead and manager
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Q1. Technical and general discussion
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Q1. Tell me About Yourself
Ans. 
I am a data analyst with a background in statistics and experience in analyzing large datasets.
• Background in statistics

• Experience in analyzing large datasets

• Proficient in data visualization tools like Tableau

• Strong problem-solving skills

• Excellent communication skills
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Q2. Project working and day to day activities I do
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Q3. Rate Yourself In SQL out of 5
Ans. 
I would rate myself a 4 out of 5 in SQL proficiency.
• Proficient in writing complex SQL queries

• Experienced in optimizing database performance

• Familiar with data manipulation and analysis functions

• Comfortable working with large datasets
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Q4. Sql 3 question based on windows function
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Q5. Very basic python 2 Question
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Q6. What You do on power bi in your work Explain with full details workflow
Ans. 
I use Power BI to analyze and visualize data for insights and decision-making in my work.
• Connect to data sources to import data

• Transform and clean data using Power Query Editor

• Create relationships between different data tables

• Design interactive reports and dashboards

• Use DAX formulas for calculations and measures

• Share reports with stakeholders and collaborate on insights
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Q1. All 3 sql Questions very simple Round but they didn't provide any Data tables just tell this and that so it may get confusing I slove 2 out of three but rejected on this Round questions Are intermidate
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Q1. How would you create a pipeline for ADLS to SQL data movement?
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Q2. How would you create a pipeline from REST API to ADLS? What is there are 8 million rows of records?
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Q3. IF data needs filtering, joining and aggregation, how would you do it with ADF?
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Q4. Explain medallion architecture.
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Q5. Explain medallion with databricks
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Q1. Basic questions and salary expectation.
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Q1. Scenario based questions on Azure data factory and pipelines
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Q2. Optimisation technic to improve the performance of databricks
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Q3. What is Autoloader
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Q4. What is unity catalog
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Q5. How you do the alerting mechanism in adf for failed pipelines
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Q1. How do you optimize SQL queries?
Ans. 
Optimizing SQL queries involves using indexes, avoiding unnecessary joins, and optimizing the query structure.
• Use indexes on columns frequently used in WHERE clauses

• Avoid using SELECT * and only retrieve necessary columns

• Optimize joins by using INNER JOIN instead of OUTER JOIN when possible

• Use EXPLAIN to analyze query performance and make necessary adjustments
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Q2. How do you do performance optimization in Spark. Tell how you did it in you project.
Ans. 
Performance optimization in Spark involves tuning configurations, optimizing code, and utilizing caching.
• Tune Spark configurations such as executor memory, number of executors, and shuffle partitions.

• Optimize code by reducing unnecessary shuffles, using efficient transformations, and avoiding unnecessary data movements.

• Utilize caching to store intermediate results in memory and avoid recomputation.

• Example: In my projec...read more
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Q3. What is SparkContext and SparkSession?
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SparkContext is the main entry point for Spark functionality, while SparkSession is the entry point for Spark SQL.
• SparkContext is the entry point for low-level API functionality in Spark.

• SparkSession is the entry point for Spark SQL functionality.

• SparkContext is used to create RDDs (Resilient Distributed Datasets) in Spark.

• SparkSession provides a unified entry point for reading data from various sources and performing
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Q4. When a spark job is submitted, what happens at backend. Explain the flow.
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When a spark job is submitted, various steps are executed at the backend to process the job.
• The job is submitted to the Spark driver program.

• The driver program communicates with the cluster manager to request resources.

• The cluster manager allocates resources (CPU, memory) to the job.

• The driver program creates DAG (Directed Acyclic Graph) of the job stages and tasks.

• Tasks are then scheduled and executed on worker nodes ...read more
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Q5. Calculate second highest salary using SQL as well as pyspark.
Ans. 
Calculate second highest salary using SQL and pyspark
• Use SQL query with ORDER BY and LIMIT to get the second highest salary

• In pyspark, use orderBy() and take() functions to achieve the same result
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Q6. 2 types of modes for Spark architecture ?
Ans. 
The two types of modes for Spark architecture are standalone mode and cluster mode.
• Standalone mode: Spark runs on a single machine with a single JVM and is suitable for development and testing.

• Cluster mode: Spark runs on a cluster of machines managed by a cluster manager like YARN or Mesos for production workloads.
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Q7. If you want very less latency - which is better standalone or client mode?
Ans. 
Client mode is better for very less latency due to direct communication with the cluster.
• Client mode allows direct communication with the cluster, reducing latency.

• Standalone mode requires an additional layer of communication, increasing latency.

• Client mode is preferred for real-time applications where low latency is crucial.
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Q1. Scenario based. Write SQL and pyspark code for a dataset.
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Q2. If you have to find latest record based on latest timestamp in a table for a particular customer(table is having history) , how will you do it. Self join and nested query will be expensive. Optimized query...read more
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Q1. Can you introduce yourself and describe your current project experience?
Ans. 
I am a Senior Data Engineer with experience in building scalable data pipelines and optimizing data processing workflows.
• Experience in designing and implementing ETL processes using tools like Apache Spark and Airflow

• Proficient in working with large datasets and optimizing query performance

• Strong background in data modeling and database design

• Worked on projects involving real-time data processing and streaming analytic
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Q2. Decorators in python
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Decorators in Python are functions that modify the behavior of other functions or methods.
• Decorators are defined using the @decorator_name syntax before a function definition.

• They can be used to add functionality to existing functions without modifying their code.

• Decorators can be used for logging, timing, authentication, and more.

• Example: @staticmethod decorator in Python is used to define a static method in a class.
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Q3. What is the SQL query to group by employee ID in order to combine the first name and last name with a space?
Ans. 
SQL query to group by employee ID and combine first name and last name with a space
• Use the GROUP BY clause to group by employee ID

• Use the CONCAT function to combine first name and last name with a space

• Select employee ID, CONCAT(first_name, ' ', last_name) AS full_name
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Q4. What are constructors in Python?
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Constructors in Python are special methods used for initializing objects. They are called automatically when a new instance of a class is created.
• Constructors are defined using the __init__() method in a class.

• They are used to initialize instance variables of a class.

• Example: class Person: def __init__(self, name, age): self.name = name self.age = age person1 = Person('Alice', 30)
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Q5. Indexing in sql
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Indexing in SQL is a technique used to improve the performance of queries by creating a data structure that allows for faster retrieval of data.
• Indexes are created on columns in a database table to speed up the retrieval of rows that match a certain condition in a WHERE clause.

• Indexes can be created using CREATE INDEX statement in SQL.

• Types of indexes include clustered indexes, non-clustered indexes, unique indexes, an...read more
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Q6. Why spark works well with parquet files?
Ans. 
Spark works well with Parquet files due to its columnar storage format, efficient compression, and ability to push down filters.
• Parquet files are columnar storage format, which aligns well with Spark's processing model of working on columns rather than rows.

• Parquet files support efficient compression, reducing storage space and improving read performance in Spark.

• Spark can push down filters to Parquet files, allowing f...read more
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