Data Automation Engineer

1 day ago

Tiruppur, Tamil Nadu, India Cube Hub Inc. Full time

Job Title: Data Automation Engineer – Python & Synthetic Data (GE Plant Applications)

Job Location: 100% remote India

Job Duration: 6 Months

not seeking candidates with lengthy notice periods.

Candidate location and candidate availability/start date should be listed at the top of the resumes.

Position is 100% remote.

Candidates can be nearshore or offshore, and can overlap 3-5 hours with CST time zone.

Skill Priority:

Strong experience in Test Automation with a focus on data validation and transformation logic.

Solid understanding of relational databases and data warehousing concepts.

GE Plant Applications experience is now a MUST HAVE,

should be able to name some of the tables in the SQL database that they have interacted with.

Anyone who has previously worked with Plant Apps would know how to do this and should be able to articulate it accordingly during an interview.

Job Description

We are seeking a detail-oriented and highly skilled Test Automation Engineer to join our Data & Analytics team.

In this role, you will be responsible for Development of Golden Model simulation using Python.

Creating and validating synthetic test data.

You will work closely with data engineers, QA analysts, and DevOps teams to ensure high-quality data delivery in a CI/CD environment.

________________________________________

Key Responsibilities


• Design and develop automated scripts in Python to create a golden model within SQL Server for use in test automation.


• Collaborate with developers and analysts to understand data requirements and ensure test coverage.


• Integrate testing into CI/CD pipelines to support continuous delivery and deployment.


• Identify, document, and track defects and inconsistencies in data.


• Contribute to test automation strategies and reusable SQL test frameworks.

________________________________________

Required Skills & Qualifications


• Strong experience in Test Automation with a focus on data validation and transformation logic.


• Proficiency in Python, particularly with any of the below frameworks:

o YData-Synthetic / o SDV (Synthetic Data Vault) / o Gretel-Synthetics / SynthCity / DoppelGANger


• Experience working in CI/CD environments and integrating tests into automated pipelines.


• Solid understanding of relational databases and data warehousing concepts.


• Excellent analytical and problem-solving skills.


• MUST HAVE experience with GE Plant Applications


• Nice to have experience with MS SQL Server

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