SDET Python Test Engineer

Programming and Scripting:
Proficiency in programming languages such as Python, Java, or SQL for data manipulation and analysis.
Experience with scripting languages (e.g., Bash, PowerShell) for automation of data processes.
Data Management and Analysis:
Strong skills in data analysis tools and platforms, such as Excel, R, or MATLAB.
Proficiency in using data visualization tools like Tableau, Power BI, or D3.js to present data insights effectively.
Database Systems:
Experience with relational database management systems (RDBMS) such as MySQL, Oracle, or PostgreSQL.
Familiarity with NoSQL databases like MongoDB or Cassandra for handling unstructured data.
Data Integration and ETL:
Knowledge of Extract, Transform, Load (ETL) processes and tools like Apache NiFi, Talend, or Informatica.
Experience with data warehousing solutions such as Amazon Redshift, or Snowflake.
Testing and Quality Assurance:
Skills in writing and executing test cases for both production and non-production environments.
Familiarity with automated testing frameworks and tools like Selenium, JUnit, 
Cloud Computing:
Understanding of AWS cloud and AWS cloud native services