Python Data Testing Engineer

Job Title: Python Dta Testing Engineer

Mandatory Skills: Python,Data Testing,SQL,Etl Tester Skill to Evaluate Python,Data Testing,SQL,Etl Tester, ETL Testing, Data Validation, Data Pipelines, Big Data Testing, Databricks, PySpark, Scala, Python, SQL, NoSQL, Snowflake, Data Lakes, Data Warehousing, Apache Flink, CI/CD, Jenkins, GitLab, Docker, Kubernetes, AWS, Linux, Shell Scripting, Data Modeling

Experience: 3 to 5 Years

Location: Bengaluru

Work Mode: Hybrid

Job Description:
Sony India Software Centre (SISC) was setup as a subsidiary of Sony India in the year 1997. In 2012, this organization was established as a separate legal entity as Sony India Software Centre Private Limited (SISCPL). This organization was primarily set-up as a high-quality service delivery center in the areas of embedded software development, enterprise applications development and support, information security services. Since inception, this organization has evolved into a very mature Global Capability Centre providing end to end technology solutions and high value services for global business organizations of Sony.

• Job Overview We are seeking an ETL Test Engineer with good handson in data validation, data pipelines, and big data ecosystems. The ideal candidate will contribute to end-to-end testing strategies across data warehouses, ETL pipelines, and modern data platforms, ensuring data quality, integrity, and performance at scale. This role requires deep technical proficiency in big data tools, strong programming skills, and experience with cloud-native environments.

Primary Skills

• Handson in ETL testing and data validation
• Strong proficiency in Python programming
• Hands-on experience with PySpark and/or Scala for large-scale data processing
• Knowledge of SQL, data modeling, and database testing (SQL & NoSQL)
• Experience with data warehouses and data lakes (e.g., Snowflake)
• Experience with Databricks
• Understanding of Big Data ecosystems
• Experience in testing data pipelines and ETL workflows
• Understanding of data modeling techniques
• Input/output validation for ML pipelines

Good to Have Skills

• Experience with Apache Flink (streaming and batch processing)
• Exposure to CI/CD pipelines (Jenkins, GitLab, etc.)
• Knowledge of Docker and Kubernetes for containerized environments
• Working knowledge of Linux and shell scripting
• Hands-on experience with AWS backend services

Responsibilities and Duties

• Contribute to end-to-end testing strategy for ETL pipelines, data warehouses, and big data platforms
• Design and implement scalable data validation frameworks
• Perform database testing across SQL and NoSQL systems
• Validate data across data lakes (e.g., Snowflake) and distributed systems
• Collaborate with data engineers to ensure data quality and pipeline reliability
• Build and maintain automated testing solutions for batch and streaming pipelines
• Optimize test processes for performance, scalability, and accuracy
• Integrate testing workflows into CI/CD pipelines
• Ensure compliance with data governance and quality standards