Data Vault 2.0 Skills Test
Informatica Test (PowerCenter)
Informatica Siperian Test
Informatica Test Data Manager Test
Informatica Data Quality Test
Informatica MDM Test
Ab Initio Online Test
SAS BI Test
SAS DI Test
Two important use cases for ETL online test:
#1 Identifying job-fit candidates based on job roles
You can create customized ETL test for any given job role. Using this feature, you can choose questions from different skill types, including functional, technical, and soft skills. For example, with our customized ETL online test, you can evaluate candidates’ knowledge of Database Lifecycle, Data Warehouse, Metadata Validation, MDM Hub Store Unmerge, and Communication Skills and assess the best individuals for the job.
#2 Skill-gap analysis of your employees
iMocha allows you to measure employees' skill competency through ETL training assessments. It determines the existing skill level and identifies the areas for growth. It also measures the knowledge and impact of the training and traces individual employees’ progress. For example, you can use our ETL test to identify knowledge about MDM Hub Store SIF, Test Data Manager, and other skills and perform a skill gap analysis.
Test Creation Process
We provide different types of ETL assessment 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 ETL specialists will create questions about Data Objects DataStage Engine or PowerCenter based on the difficulty level of easy, medium, and hard.
You can choose questions to be included in the ETL online test or ask us to create customized assessments according to your requirements.
Identifying the right candidate remotely took a lot of our time, considering how each seemed to have different levels of skills and expertise.
iMocha helped us to transform our remote hiring strategy and cut down on our candidate filtration time by 40%,
making it our preferred assessment software.
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.
Talent Acquisition Manager, Capgemini
We have always believed in hiring talent on merit rather than resumes. When we started our global recruitment, we were clear on including assessments to evaluate skills and shortlist candidates.
iMocha has helped us immensely over the past 3 years to not only assess candidates but also optimize our recruitment process.
Senthil Nayagam K
Sr. VP, Hexaware
We can customize this ETL online test to suit your needs. Our SMEs will refer to the job description and customize the ETL online test based on the required skills. Some include MDM Hub Store Building Schema, Siperian, Database Lifecycle etc. Likewise, you can choose the difficulty level to assess candidates of different experience levels.
There are a variety of questions that can be asked to assess the level of ETL candidate's expertise in the field. Common questions include:
• Have you worked with different data sources and how do you handle data integration?
• What are the most common transformations in ETL processes?
• What is a “staging” area, why is it needed?
• How do you monitor and optimize ETL performance?
• How do you handle data security and compliance in the ETL process?
• What is the advantage of third-party tools like SSIS compared to SQL scripts?
Looking for more assessment questions? Read our latest blog on ETL interview questions that can help spot great ETL Developers.
ETL (extract, transform, and load) analysts are responsible for designing and implementing data pipelines to extract data from various sources, transform the data into a usable format, and load it into a target database or system.
• Some specific roles and responsibilities of an ETL analyst might include:
• Designing and implementing ETL processes
• Managing data quality
• Optimizing ETL performance
• Troubleshooting and debugging
• Managing data security and compliance
Some of required skillsets are
• Familiar with a range of ETL tools and technologies
• Identify and fix errors and inconsistencies in data
• Experience in handling and optimizing the ETL process
• Designing the data model and schema for the target system
• Data analytical, thinking, and troubleshooting skills
• Effective communication skills
• Strong project management skills
• Problem-solving skills
• Collaboration and team skills
According to data from Glassdoor, the median salary for an ETL analyst in the United States is $74,735 per year.