Data Testing (Contract-to-Hire) | Spruce InfoTech | 5+ years
Position: Data Testing
Contract Duration: 12 Months
Notice Period: Immediate or max 1 Month
Locations: Chennai/Pune
Best Headphones for your interviewCompany Overview: Greetings from Spruce InfoTech, Inc! We are a leading IT services company offering innovative solutions to clients across various industries. We currently have an exciting Contract-to-Hire opportunity for a Data Testing professional to work with our esteemed client, Infosys. If you have 5+ years of experience in Testing and Pyspark automation, along with knowledge in AWS (Lambda, Glue, Step Functions), we encourage you to apply. This role offers a contract duration of 12 months, with the possibility of permanent employment. The positions are available in both Chennai and Pune locations.
Best Mobile For YouJob Requirements:
As a Data Testing professional, you will play a crucial role in ensuring the accuracy, quality, and reliability of data-related processes within our client’s projects. Your key responsibilities will include:
- Data Testing: Utilize your 5+ years of experience in testing to design and execute comprehensive test scenarios for data validation. Ensure data accuracy, completeness, and integrity throughout the data lifecycle.
- Pyspark Automation: Showcase your expertise in Pyspark automation to build efficient and scalable test scripts, automated test suites, and test frameworks.
- AWS Knowledge: Demonstrate knowledge of AWS resources such as Lambda, Glue, Step Functions, ECR, ECS, and CloudWatch. Experience with AWS services is essential for effective data testing in cloud environments.
- SQL and ETL Concepts: Possess a strong understanding of SQL and ETL concepts to perform data manipulations, transformations, and validations during the testing process.
Must-Have Skills:
- SQL / ETL Concepts: Proficiency in SQL and a strong understanding of ETL (Extract, Transform, Load) processes to validate data quality and accuracy.
- AWS Resources: Hands-on experience with various AWS resources like Lambda, Glue, Step Functions, ECR, ECS, and CloudWatch, along with an understanding of cloud-based data management.
- Containerization: Knowledge of containerization technologies, specifically Docker, to support efficient testing processes.
- PySpark: Expertise in PySpark for functional and distributed programming, enabling seamless data processing and validation.
Good-to-Have Skills:
- NoSQL: Familiarity with NoSQL databases for handling unstructured or semi-structured data.
- CICD (Cloud/AWS): Understanding of Continuous Integration and Continuous Deployment (CICD) practices involving cloud-based environments.
- API Testing: Experience in API testing to ensure smooth data interactions between applications and services.
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How to Apply: If you are an experienced Data Testing professional with expertise in Pyspark automation, AWS resources, and meet the above requirements, we would love to hear from you. Interested candidates can share their updated resumes at ginni@spruceinfotech.com. Our team will review your application, and if shortlisted, we will contact you for further discussions.
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