Job Overview
We are seeking a meticulous and experienced Data Tester to join our dynamic team. The successful candidate will be responsible for conducting rigorous testing and validation of data sets, ensuring the accuracy and integrity of data, identifying and resolving data discrepancies, and contributing to the development of automated test scripts. This role requires a keen eye for detail, a strong understanding of data management, and the ability to work collaboratively with data analysts and developers to improve the overall quality of our data systems.
Responsibilities
Design and execute test plans, scenarios, scripts, or procedures to ensure data integrity and consistency.
Use SQL and other tools to perform data validation and testing.
Collaborate with the development team to identify and fix data-related issues.
Document and communicate test results, and track defects and resolutions.
Required Skills
IT QA: The candidate must have a strong understanding of IT Quality Assurance principles and methodologies. This includes the ability to design and execute test plans to ensure that all objectives are met and that solutions work as expected.
Automation Testing: The candidate must have experience in automation testing, including the use of automation tools and frameworks. This includes the ability to write and execute automated test scripts.
SQL: The candidate must have proficiency in SQL, including the ability to write and execute complex SQL queries for data validation and testing.
A bachelor’s degree in computer science, Information Systems, or a related field is required.
Preferred Skills
Data Quality Management: The candidate should have experience in managing and ensuring the quality of data.
Knowledge of ETL process: Understanding of Extract, Transform, Load (ETL) process can be beneficial.
Python: Knowledge of Python for scripting and automation can be an added advantage.
Data Analysis: Ability to analyze data for inconsistencies and errors.
Knowledge of Big Data tools: Familiarity with tools like Hadoop, Spark can be beneficial.
Agile Methodology: Experience in Agile development methodologies can be a plus.
Knowledge of Data Warehousing: Understanding of data warehousing concepts can be beneficial.
Data Visualization Tools: Familiarity with data visualization tools like Tableau, Power BI can be an advantage.
Knowledge of NoSQL databases: Understanding of NoSQL databases like MongoDB, Cassandra can be beneficial.
Problem-solving skills: Ability to troubleshoot and solve issues related to data quality and testing.
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Job Type: Fixed term contract
Contract length: 12 months
Pay: $50.00-$53.00 per hour