Tests to Measure and Assess All Big Data Skills

Our SMEs can create individualized assessments depending on your job role requirements. These assessments are divided into primary and secondary skills, such as Ambari, Apache Beam, Communication skills, Docker, Spark, Analytical Skills, Informatica MDM, and more. Additionally, SMEs can craft customized questions according to applicants' experience and difficulty level.

‍

Explore Our Blog: 'How to Choose the Right Topics for Crafting a Big Data Assessment.

Some popular Certifications for Big Data related job roles are as follows:

• Google Data Analytics Professional Certificate

• IBM Data Analyst Professional certificate

• Cloudera Certified Associate (CCA) Data Analyst

• SAS Certified Data Scientist

• Certified Analytics Professional (CAP)

• Dell EMC Proven Professional Data Scientist Associate (EMCDSA)

• Certification of Professional Achievement in Data Sciences

• Amazon Web Services (AWS) Big Data Specialty Certification

• Intellipaat Big Data Hadoop Certification

• Microsoft’s MCSE: Data Management and Analytics

• Hortonworks Hadoop Certification

• MongoDB Certified Developer Exam

• Oracle Business Intelligence Certification

• Mining Massive Data Sets Graduate Certificate

Some of the common Big Data interview questions asked for this role are:

‍

• What are the 5 V's in Big Data?

• How are Hadoop and Big Data related?

• How to deploy a Big Data Model? Mention the key steps involved.

• Mention the common input formats in Hadoop.

• What is Map Reduce in Hadoop?

• Explain overfitting in big data. How to avoid the same.

• What is the Port Numbers for Name Node, Task Tracker, and Job Tracker?

• What are the different file permissions in HDFS for files or directory levels?

• How Is Hadoop CLASSPATH essential to start or stop Hadoop daemons?

Big Data Developers are required to perform the following tasks and responsibilities:

‍

• Build and monitor big data applications utilizing a variety of technologies (e.g., Hadoop, Spark, and NoSQL databases)

• Create and implement data models to verify the quality, consistency, and integrity of massive amounts of data.

• Combine data from numerous sources. (e.g., social media, log files, and sensors)

• Improve the performance of big data applications by optimizing data processing, query execution, and storage.

• Implement encryption, access restrictions, and other security measures to ensure the safety of sensitive data.

• Analyze enormous amounts of data with statistical and analytical software like R and Python.

• Coordinate with other members of the development team, including data scientists, analysts, and business stakeholders.

• Troubleshoot and provide support for big data applications in production.

• Ensure that the big data applications they develop are innovative, efficient, and effective.

You can consider these technical as well as non-technical skills while hiring Big Data Developer:

‍

Technical Skills:

• Structured Query Language (SQL)

• Python and related programming languages

• Data visualization (especially, Tableau)

• Microsoft Excel

• Machine learning models/algorithms

• Building data sets

• Predictive modelling

• Data engineering/optimization

• Regression analysis

• Oozie & Pig

• Hive & Harton works

• Kafka & Greenplum

‍

Non-Technical Skills:

• Data Interpretation

• Communication

• Analytical Thinking

• Problem Solving

• Team Work

• Time Management

In the United States, the average Big Data Developer’s salary is $126,750 per year. Big Data Developer salaries start at $110,000 per year.