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Visionet Systems

Compare

3.2

based on 792 Reviews

2 Visionet Systems Quality Engineer Jobs

Sr. ETL Quality Engineer / ETL QE Lead

Visionet Systems Inc.

3.2

based on 792 Reviews

5-8 years

Bangalore / Bengaluru

1 vacancy

Sr. ETL Quality Engineer / ETL QE Lead

Visionet Systems

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Automation Testing SAP Business Intelligence Data Extraction

+ 3 more

Job Description

SQL Expertise: Strong ability to write, debug, and optimize SQL queries to validate data across source systems, staging areas, and reporting tables.
ETL Testing: Experience in validating data flow in ETL pipelines, ensuring accuracy and consistency from source to destination (e.g., transactional databases, staging areas, final reporting tables).
Automation Tools: Exposure to automation tools such as Selenium, Appium, and TestNG for automating functional and regression tests related to ETL processes and data pipelines.
Python Scripting: Ability to write Python scripts for automating ETL tests, data validation, and performing API testing or integration tasks.
Reporting Tools: Knowledge of validating report layouts, filters, aggregations, and charts in reporting tools (e.g., Jaspersoft, or any other popular BI tools).
Health Checks: Ability to write SQL health checks for regular validation of data integrity and pipeline sanity (e.g., daily checks for data consistency).
Root Cause Analysis: Proficient in identifying and reporting root causes of discrepancies in reports or data pipelines.
Test Case Preparation: Ability to write solid test cases for Reporting and Enterprise Data Warehousing (EDW), ensuring minimal test coverage gaps.
Effective Communication: Skilled in communicating complex technical issues to non-technical stakeholders clearly and effectively.

ETL Testing: Design and execute test cases for validating data extraction, transformation, and loading from source to target systems, ensuring accurate reporting and business intelligence.
Data Validation: Validate data in transactional databases, staging areas, and final reporting tables, ensuring that the data meets the expected business rules and transformations.
Test Case Development: Develop comprehensive test cases for Reporting and EDW systems, ensuring full coverage of reporting requirements and data flows.
Reporting Analytics Validation: Validate the layout, filters, aggregations, and charts in reporting tools (e.g., Jaspersoft, or other BI tools), ensuring reports are accurate and formatted correctly.
Root Cause Identification: Investigate and report root causes of any discrepancies in ETL processes or reports, working with technical teams to resolve issues.
Health Check Automation: Develop and implement SQL-based health checks and Python scripts to monitor the sanity of data in pipelines, ensuring regular validation and early detection of issues.