Bank of America Hadoop Interview Questions

Bank of America Hadoop Interview Questions

Bank of America has tapped into Hadoop technology to manage and analyse the large amounts of customer and transaction data that it generates. Big Data analytics and Hadoop are the heart of ‘BankAmeriDeals’ program, that provides cashback offers to bank’s credit and debit card holders. The bank collects transaction data from various propensity models and the bank learns which customers are likely to be benefited from refinancing their credit cards with a competitor. From this analysis, the bank can make offers to these customers, when they contact the bank, either through their branch office, call centre or any other medium. Big data analytics at Bank of America helps run the BankAmeriDeals program with cashback offers based on the past payments of customers for better customer retention who are likely to go to a competitor.

BOFA Hadoop Interview Questions

Big Data Hadoop Careers at Bank of America

Average Hadoop Developer Salary for Bank of America professionals is $212K per annum, ranging from $95.1K to $345K. The average Hadoop developer salary at Bank of America includes $125K base salary, $10.6K signing bonus, $68.9K Annual Equity and $8.4K annual bonus. The top skills for Bank of America Hadoop developers include HBase, Hive, Sql, MySQL, Agile methodologies, MapReduce, Apache pig, Shell scripting, Distributed systems, SDLC, Python, C, Linux, Java enterprise edition, Junit, JavaScript and Maven.

Online Hadoop Training

As of 12th August, 2016, Glassdoor listed 18 jobs related to Hadoop skill at Bank of America.

Hadoop Jobs at Bank of America


CLICK HERE to prepare some of the most commonly asked Hadoop Interview Questions!


Attend a Hadoop Interview session with experts from the industry!

Related Posts –

Hadoop Developer Interview Questions at Top Tech Companies,

Top Hadoop Admin Interview Questions and Answers

Top 50 Hadoop Interview Questions

Hadoop HDFS Interview Questions and Answers

Hadoop Pig Interview Questions and Answers

Hadoop Hive Interview Questions and Answers

Hadoop MapReduce Interview Questions and Answers

Sqoop Interview Questions and Answers

HBase Interview Questions and Answers



Big Data and Hadoop Certification

Relevant Projects

Data Warehouse Design for E-commerce Environments
In this hive project, you will design a data warehouse for e-commerce environments.

Design a Hadoop Architecture
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.

Tough engineering choices with large datasets in Hive Part - 1
Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances

Real-Time Log Processing in Kafka for Streaming Architecture
The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense.

Data Mining Project on Yelp Dataset using Hadoop Hive
Use the Hadoop ecosystem to glean valuable insights from the Yelp dataset. You will be analyzing the different patterns that can be found in the Yelp data set, to come up with various approaches in solving a business problem.

Real-time Auto Tracking with Spark-Redis
Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

Data processing with Spark SQL
In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

Create A Data Pipeline Based On Messaging Using PySpark And Hive - Covid-19 Analysis
In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

Movielens dataset analysis for movie recommendations using Spark in Azure
In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

Spark Project -Real-time data collection and Spark Streaming Aggregation
In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.