Title : Data Lake Tester
Contract Length : 06 months
Location : Remote
Job Description :
- A Data Lake Tester plays a crucial role in ensuring the integrity, performance, and reliability of data stored in a data lake. Here are the key responsibilities and roles of a Data Lake Tester : A Data Lake Tester ensures that the data lake is robust, reliable, and ready to support data-driven decision-making and analytics.
Data Validation and Verification :
Ensuring the accuracy and completeness of data ingested into the data lake.Validating data transformations and ETL (Extract, Transform, Load) processes to ensure data is correctly processed and stored.Performing data quality checks to identify and resolve data anomalies and inconsistencies.Test Planning and Design :
Developing comprehensive test plans and test cases based on data requirements, use cases, and business rules.Designing automated tests to validate data ingestion, transformation, storage, and retrieval processes.Collaborating with data engineers and data architects to understand data pipelines and data flow.Automation and Scripting :
Writing and maintaining scripts and automated tests to perform data validation and testing.Using testing frameworks and tools to automate data testing processes, such as Apache Nifi, Talend, or custom scripts in Python / Scala.Performance Testing :
Conducting performance testing to ensure the data lake can handle large volumes of data and high transaction rates.Testing the scalability and performance of data ingestion, querying, and processing.Security and Compliance :
Ensuring data security and privacy by validating access controls, encryption, and data masking.Verifying compliance with relevant data protection regulations and standards.Integration Testing :
Testing the integration of the data lake with upstream and downstream systems, such as data sources, data warehouses, and BI tools.Ensuring seamless data flow and integration between different components of the data architecture.Defect Identification and Resolution :
Identifying defects and issues in the data lake and working with development teams to resolve them.Documenting defects, performing root cause analysis, and tracking them to closure.Documentation and Reporting :
Creating and maintaining detailed test documentation, including test plans, test cases, test scripts, and test results.Reporting test progress, results, and quality metrics to stakeholders.Continuous Improvement :
Continuously improving testing processes and methodologies to enhance the efficiency and effectiveness of data testing.Staying updated with the latest tools, technologies, and best practices in data testing and data management.