Data Quality Engineer/Automation tester

Technical Skills:

Strong understanding of SDLC (Software Development Life Cycle) and STLC (Software Testing Life Cycle).

Experience with STLC, test methodologies, and test strategies.

Proficient in both manual and automation testing.

Python experience: 3 to 5 years.

Hands-on experience with test frameworks such as Robot Framework and Pytest Framework.

Experience in file handling, including formats like .csv, .json, and .avro.

Proficient with Python libraries for data fetching, cleaning, and processing (Pandas, NumPy, Plotly).

Experience with database queries (both SQL and NoSQL).

Experience in testing REST APIs using tools like Postman and Python.

Experience working on test benches involving TCUs.

Familiarity with automotive communication protocols such as CAN and J1939.

Development/Test Process Skills:

Experience with Azure DevOps / JIRA.

Familiarity with Agile/Scrum methodologies.

Proficient with Git version control.

Other Skills:

Test Management.

Defect Management.

Strong communication skills.