Python Data Testing Engineer

Acesoft Labs; Bengaluru; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Acesoft Labs in Bengaluru is seeking a Python Data Testing Engineer to automate backend tests, validate data pipelines, and work in cloud-native environments.

The role requires strong Python & Pytest skills, experience with API testing, SQL/NoSQL data validation, and familiarity with Docker, Kubernetes, and AWS services. You will collaborate with DevOps and data teams to enhance test coverage and reliability.

Qualifications

• Strong Python & Pytest skills with backend test automation.
• Experience in API testing (REST) and backend service validation.
• Hands-on SQL & NoSQL database testing.
• Docker & Kubernetes experience for containerized environments.
• Linux knowledge and shell scripting.
• Exposure to Pyspark or data pipeline testing.
• Experience with AWS services.

Responsibilities

• Design, develop, and maintain automated test frameworks using Python & Pytest.
• Perform API testing, backend service validation, and performance checks.
• Test and validate Pyspark data pipelines and ETL workflows.
• Work with Docker & Kubernetes for containerized environments.
• Develop automation scripts for backend platforms and data workflows.
• Execute database testing using SQL & NoSQL systems.
• Collaborate with DevOps teams using Jenkins / GitLab CI/CD pipelines.
• Work with AWS services such as S3, DynamoDB, EC2.
• Participate in code reviews, debugging, RCA, and production issue validation.
• Coordinate with US teams and attend nightly meetings when required.
• Continuously improve test coverage, test frameworks, and automation strategy.

Skills

Python & Pytest

API testing

SQL & NoSQL testing

Docker & Kubernetes

Linux

Pyspark

AWS services

Tools

Docker

Kubernetes

Jenkins

GitLab CI/CD

Job description

Role & responsibilities

Job Description

We are looking for a Python Data Testing Engineer with hands‑on experience in backend test automation, data pipeline validation, and cloud‑native environments. The ideal candidate should have strong Python & Pytest skills, experience with Docker/Kubernetes, and exposure to data pipeline testing (Pyspark).

Key Responsibilities

• Design, develop, and maintain automated test frameworks using Python & Pytest
• Perform API testing, backend service validation, and performance checks
• Test and validate Pyspark data pipelines and ETL workflows
• Work with Docker & Kubernetes for containerized environments
• Develop automation scripts for backend platforms and data workflows
• Execute database testing using SQL & NoSQL systems
• Collaborate with DevOps teams using Jenkins / GitLab CI/CD pipelines
• Work with AWS services such as S3, DynamoDB, EC2
• Participate in code reviews, debugging, RCA, and production issue validation
• Coordinate with US teams and attend nightly meetings when required
• Continuously improve test coverage, test frameworks, and automation strategy

Mandatory Skills

• Strong proficiency in Python & Pytest
• Experience in API testing (REST-based)
• Hands‑on SQL & NoSQL database testing
• Experience with Docker & Kubernetes
• Good knowledge of Linux & shell scripting
• Exposure to Pyspark or data pipeline testing
• Working experience with AWS services

Good to Have Skills

• Knowledge of Scala, Kotlin, or other JVM languages
• Exposure to gRPC
• Experience using Splunk for log analysis
• Understanding of distributed systems
• AWS certification

Soft Skills

• Strong analytical and debugging skills
• Excellent communication & collaboration abilities
• Proactive learner with problem‑solving mindset

Keywords (SEO Optimized)

Python, Pytest, API Testing, Data Testing, DB Testing, SQL, NoSQL, Docker, Kubernetes, Linux, Shell Scripting, Pyspark, ETL Testing, AWS, S3, DynamoDB, EC2, Automation Engineer, Backend Testing, Automation Framework, DevOps, CI/CD

Preferred candidate profile

Immediate to 15 days joiner preffered