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Big Data Developer Test
Hadoop Online Test
MapReduce Test
HDFS Skills Test
Data Transformation Skills Test
DataFrame Test
Apache Flink Skills Test
HDFS Skills Test
Big Data Developer Test
Data Interpretation Test
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Python Coding Test (High)
Python Coding Test (Basic)
Python Coding Test (Medium)
.avif)
Python Test
Big Data Assessment Test
Kafka Test
Spark Test
Docker Test
Hadoop Online Test
MapReduce Test
Hive Test
Big Data - Pig Test
Flume Test Assessment
Big Data - Sqoop Test
Big Data - Oozie Test
Informatica MDM Test
HortonWorks Test
Data Science & Analytics Test
SnapLogic Online Test
Apache Zookeeper Online Test
GDPR Online Test
Apache NiFi Online Test
Apache Hadoop YARN Test
Six Sigma Test
Informatica B2B Data Exchange Test
Teradata MDM Test
Talend Test
PySpark Coding Test
Apache Airflow Skills Test
Apache Beam Python Test
Ambari Test
Greenplum Skills Test
#1 Identifying job-fit candidates based on job roles
You can design customized big data tests for any given job role. Using this capability, you can choose questions from different skill types, including functional, technical, and soft skills. For example, with our customized big data online test, you can assess candidates' understanding of Hive, Map Reduce, Greenplum, Data Analysis, Flume, Oozie, and more to hire the best individuals for the job.
#2 Skill-gap analysis of your employees
iMocha allows you to measure employees' skill competency through big data training assessments. It determines the current skill level and identifies the areas for growth. Using this feature, you can measure employees' progress from their existing knowledge base to gained knowledge. For example, you can use our big data training tests to identify an engineer's knowledge about Pyspark, Zookeeper, Data Interpretation, and other skills and perform a skill gap analysis.
We provide various types of big data tests to help you evaluate candidates' specific skills. These questions are created by Subject Matter Experts (SMEs) based on their knowledge and expertise. For example, only big data specialists will develop questions about Pig, Sqoop, Hadoop, Hortonworks, or Kafka based on easy, medium, and hard difficulty levels.
You can - choose which questions to include in the big data online test or ask us to create personalized assessments according to your requirements.
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We turned to iMocha to gain real skills intelligence at scale. It’s helped us align development with business needs and empower data-driven career growth globally.
iMocha enabled a skills-first approach by helping us accurately validate employee capabilities, tailor training to real needs, and meet industry standards—while saving time and reducing manual effort.
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We successfully scaled a tailored certification program – assessing niche technical competencies across 1,000+ employees—and exceeded industry benchmarks with the support of iMocha.
Read Case Study
iMocha enabled us to take a skills-first approach by mapping over 60 role-specific competencies and aligning them with curated learning paths, giving us deep visibility into employee strengths and growth.
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With iMocha’s AI-powered Skills Assessment, L’Oréal is making smarter, data-driven hiring and upskilling decisions—ensuring their teams stay ahead in the ever-evolving beauty industry.
iMocha enabled us to take a skills-first approach by mapping over 60 role-specific competencies and aligning them with curated learning paths, giving us deep visibility into employee strengths and growth.
iMocha enabled a skills-first approach by helping us accurately validate employee capabilities, tailor training to real needs, and meet industry standards—while saving time and reducing manual effort.
We successfully scaled a tailored certification program – assessing niche technical competencies across 1,000+ employees—and exceeded industry benchmarks with the support of iMocha.
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.
