About Algotale
At Algotale, we believe in the transformative potential of data to reshape industries, drive innovation, and create unparalleled value. Established in 2020 by a team of passionate and visionary professionals, Algotale set out to redefine the landscape of IT services and consulting by integrating a data-centric approach into every solution we design.
Our journey began with a focus on creating customized, data-driven solutions that directly address the unique challenges and ambitions of our clients. Over the years, our dedication to excellence has allowed us to grow into a trusted partner for businesses across industries, supporting them through every stage of digital transformation. Today, Algotale stands as a prominent player in the IT consulting world, known for our agility, innovation, and commitment to delivering results.
With a team of over 500 skilled professionals, we specialize in IT services, staffing, and consulting, empowering our clients to unlock the full potential of their data. Our expertise extends across data analytics, artificial intelligence, machine learning, and cutting-edge cloud solutions. By leveraging these technologies, we help organizations build resilient digital infrastructures, optimize operations, and achieve strategic growth.
As the digital landscape evolves, so does our commitment to pushing boundaries, embracing new challenges, and exceeding client expectations. At Algotale, we don’t just provide solutions; we forge partnerships built on trust, insight, and a shared drive to thrive in an increasingly data-driven world.
Website: www.algotale.com
Industry: IT Services and Consulting
Company Size: 501–1,000 employees
Founded: 2020
Specialties: IT Services, IT Staffing, IT Consulting
Requirement - Test Lead
Years of experience : 8-10
Work timings: 1:30 PM to 10:30pm
Technical Skills:
Proficient in Java with experience in JUnit, TestNG, or Cucumber.
Strong understanding of microservices and hands-on experience with REST API testing tools like REST Assured or Postman.
Utilize Kafka for testing message-driven architectures, message queues, and event-driven microservices.
Significant and demonstrable experience of test-driven development and using automated test frameworks, mocking, and stubbing and unit testing tools.
Test data processing pipelines and ETL workflows using StreamSets for data ingestion, transformation, and loading.
Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing and data modelling capabilities.
Proficient in CRUD operations, query testing, and validating NoSQL (MongoDB) data models.
Knowledge of testing batch processes (e.g., Spring Batch) and real-time data flows.
Experience integrating tests into pipelines using Jenkins, GitHub Actions, or similar tools.
Exposure to tools like JMeter or Gatling for load and stress testing.
Mandatory hands on exp in Python, PyTest, Snowflake, and Pandas.New
Skills Required
- 8-10 years of experience
- Proficient in Java with experience in JUnit, TestNG, or Cucumber
- Experience with REST API testing tools such as REST Assured or Postman
- Hands-on experience with Kafka for testing message-driven architectures
- Demonstrable experience with test-driven development, automated test frameworks, mocking/stubbing, and unit testing tools
- Experience testing data processing pipelines and ETL workflows using StreamSets
- Experience in ETL technical design, automated data quality testing, QA documentation, data warehousing and data modelling
- Proficient in CRUD operations, query testing, and validating NoSQL (MongoDB) data models
- Knowledge of testing batch processes (e.g., Spring Batch) and real-time data flows
- Experience integrating tests into CI/CD pipelines using Jenkins, GitHub Actions, or similar tools
- Exposure to load and stress testing tools such as JMeter or Gatling
- Mandatory hands-on experience in Python, PyTest, Snowflake, and Pandas
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
