How Jobberman partnered with iMocha to upskill 40,000+ candidates in job-relevant soft skills
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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)
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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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Implementing iMocha has been a game-changer for our talent acquisition process. The platform’s extensive range of assessments has allowed us to evaluate candidates' skills with precision and efficiency, significantly improving our hiring quality.
The user-friendly interface, coupled with insightful analytics, has streamlined our decision-making process. iMocha not only saved us time but also ensured we onboard the best talent. It’s an invaluable tool for any organization looking to elevate their hiring strategy.
The support from iMocha’s team assigned to UNICEF has been exceptional, providing us with extraordinary customer service experience. We are proud to partner with iMocha and look forward to continuing our journey towards a skills-first approach in talent management.
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Enrique Santander
HR Manager, Division of Human Resources
UNICEF
HexaVarsity has one goal, to nurture a learning culture and help people grow and succeed. We were studying industry trends and it was clear that Learning and Development was going to be the game changer. It was then that we decided to have iMocha's consultant centric plan, which would be designed to provide the best learning environment to our employees.
With iMocha, we found the perfect assessment partner that brought a full circle to our initiative.
After the course completion, the assessment provided an apt picture of our employees' strengths, areas of improvement, and laid the path for further individual development planning.
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Tanuja Pereira
Head - Learning and Development (Laterals)
Hexaware
Hiring Data Scientists was a challenge as the interview process took time. With iMocha's data science assessments, the process was simplified.
The tool helped us shortlist top candidates and extend offer letter in just 4 days.
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Lynn Hodak
Talent Acquisition Manager, Capgemini
iMocha has really helped us in preparing our pre-sales team to sell our embedded security solutions more effectively to customers. We were looking for a partner who could help us to build a tailor-made, flexible solution that could support our needs, and help us to scale globally.
The partnership between Ericsson and iMocha has been excellent. They created solutions for our specific needs and the process has been very collaborative.
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Sabine van Zanten
Learning & Development Consultant
Ericsson
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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.
