Associate Software Engineer

Role Description:

This role is responsible for designing, developing, and implementing automation solutions to support Anaplan application workflows and data pipeline validation. The Data Engineer will leverage Python, Pytest, and Selenium frameworks to automate Anaplan functional processes, and will also design and maintain an ETL test framework to ensure the quality, integrity, and accuracy of data across systems.

The engineer will work closely with data engineering, QA, and application teams to integrate automated testing into CI/CD pipelines, enhance test efficiency, and drive continuous improvement in data quality and system reliability.

Primary Roles & Responsibilities:

• Develop and maintain automation frameworks for Anaplan application workflows using Python, Pytest, and Selenium
• Design and implement ETL test frameworks for validating data extraction, transformation, and loading processes.
• Automate data validation and reconciliation between source systems, staging areas, and Anaplan models.
• Create robust test scripts for API and UI-based automation to support regression and integration testing.
• Integrate automated tests with CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitHub Actions).
• Build comprehensive data validation reports and dashboards for monitoring data quality and automation results.
• Collaborate with cross-functional teams to identify automation opportunities and streamline data workflows.
• Ensure adherence to best practices in coding, test design, and version control.

• Collaborate and communicate effectively with product teams
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate effectively with global teams across time zones to maintain alignment, resolve issues, and deliver on shared objectives.
• Write unit tests and validation checks to ensure data accuracy, pipeline integrity, and automation reliability; proactively monitor workflows and resolve issues.
• Maintain clear documentation for automation workflows, dependencies, and testing processes, while continuously enhancing solutions to meet evolving business needs.

Basic Qualifications and Experience:

• Bachelors / masters degree and 4 to 8 years of Computer Science, IT or related field experience

Required Skills (Must Have):

• Pythonprogramming expertise.
• Hands-on experience with Pytestfor test automation.
• Proficiency in Selenium WebDriver and Page Object Model (POM)design pattern.
• Strong understanding of ETL testing processesand data validation techniques.
• Experience with CI/CD tools(e.g., Jenkins, Azure DevOps, GitHub Actions).
• Proficient in Git version controland branching strategies.

Good-to-Have Skills:

• Working knowledge of Anaplanworkflows and automation.
• Experience with PySparkfor large-scale data processing.
• Proficiency in SQLfor data validation and analysis.
• Familiarity with Databricksplatform and notebook-based testing or data pipelines.
• Exposure to API testing using Python libraries (e.g., requests, pytest-httpx).

Professional Certifications (Preferred):

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated presentation skills