Data Quality Automation Lead

Posted 6 Days Ago
Be an Early Applicant
Bengaluru, Karnataka
3-5 Years Experience
Artificial Intelligence • Information Technology • Analytics
The Role
As a Data Quality Automation Engineer at Streamhub, you will be responsible for ensuring the quality and accuracy of the customer-facing analytics platform by automating core product flows. Your role includes identifying and resolving data quality issues, setting quality standards, building test cases, and collaborating with the Data Quality team.
Summary Generated by Built In

Job Type: Full-time

Industry: Audience profiling, Analytics, Ad Tech, Streaming

Streamhub is a data analytics and activation SaaS platform, which comprises components related to audience measurement, segmentation and targeting. Our purpose is to understand how video shapes our everyday life, and our mission to make people's everyday better by being the most actionable data platform for the video business. Working at Streamhub will bring unparalleled access to cutting-edge challenges in the complex adtech / media industry, working within an international and rewarding entrepreneurial culture. We are at an exciting growth phase, making a number of key hires who will form the founding blocks of our teams in India and Japan!

The Role

This role will give you a challenging opportunity to contribute to an innovative data product as a Lead Automation Engineer in the Data Quality chapter of our core engineering team. You will be joining our highly-productive engineering team, thriving work culture through individual growth, well-being, strong ethics, and entrepreneurial approach.

As the Automation Lead, you will be responsible for the quality of the customer facing analytics platform and the accuracy of the data. Your responsibilities will include:

  • Define and Implement Automation Strategy: Develop and execute a comprehensive strategy to automate 80+% of system testing, collaborating with product owners and engineering leads to align with project goals and milestones.
  • Mentorship and Team Development: Mentor QA engineers in automation best practices, conduct code reviews, and provide training to enhance team skills and support the automation strategy.
  • Collaboration and Continuous Quality Improvement: Work close with Product Owners and Squad Leaders to ensure automation initiatives meet product requirements, prioritize and address data quality challenges with automated solutions to enhance accuracy and reliability.
  • Test Planning and Execution: Define testing requirements, create detailed test plans with the Quality team, and develop automated test cases.
  • High Quality Standards Maintained Across Product Releases: Set quality metrics to measure product quality and maintain them through right practices. 
  • Issue Resolution: Assess the impact of data quality issues on the business, collaborate with Data Engineers to rectify errors.

You Have

  • Proven Track Record in Delivering Test Automation at Decent Scale: Strategized, managed, and delivered quality automation for large-scale projects, especially in data analytics.
  • Technical Expertise in Test Automation: Proficient in using automation tools for web applications, including Selenium and Cypress IO, and you have experience in other newer age test frameworks like Karate Labs, Protractor. You are an expert in JavaScript, comfortable with Java, and have some shell scripting and AWS knowledge to manage automation tests infrastructure. SQL knowledge is a plus.
  • Tools and Methodologies: Strong knowledge of API, performance, and load testing tools and methodologies.
  • CI/CD and Version Control: Experience in managing tests within CI/CD pipelines.
  • Quality Metrics Management: Managed Quality KPIs and maintained them within Scrum teams. 
  • Proven Scrum Experience with Large Teams: Worked effectively within Scrum teams to deliver automation solutions.

Please apply only if you have the necessary experience in quality automation and data (of any size). Otherwise, it would be a waste of everybody's time.

The Package

  • Competitive salary.
  • Full-time, permanent position starting ASAP.
  • Immense learning, exposure to niche data technologies and handling TBs of data.
  • Entrepreneurial team culture. Work with an open, diverse and autonomous team.
  • Flexible timing.
  • Collaborative office space - WeWork, Bellandur

If you've read all the way to the bottom of this description, thank you for your interest in Streamhub! If this role sounds like an exciting fit to you please don't hesitate to apply, even if you don't meet all of our qualifications. We recognise that no candidate is perfect but as a startup the right attitude and sharing similar core traits go a long way. If we are a good fit, we will grow together. 

We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Top Skills

Cypress
Gatling
Jmeter
Karate
Protractor
Selenium
SQL
The Company
London
24 Employees
On-site Workplace
Year Founded: 2010

What We Do

Streamhub is a video analytics startup providing audience and content insights for media companies. It's made for video from the ground up and provides a one-stop shop of video data across all devices and platforms. It strives to answer how content impacts the engagement and loyalty of audiences on VOD and Live services. More important than ‘how’ is the ‘what’. What talent to cast in the next show, what time to schedule the program, what are the best traffic sources for attracting quality audiences, what causes audiences to churn? With more possibilities, come more questions. With more questions, one needs more answers from the petabytes of data that your audiences are continuously providing. We are here to make big data relevant for the online TV industry. Backed by proven media executives, entrepreneurs and big data pioneers, Streamhub is looking to become the de facto leader in video analytics for media companies around the world

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