Senior QA Automation Engineer – Big Data Job Vacancy in PubMatic 601 Marshall Street, Redwood City, CA 94063 – Updated today

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Full Details :
Company Name : PubMatic
Location : 601 Marshall Street, Redwood City, CA 94063
Position :

Job Description : Company Description
“PubMatic delivers superior revenue to publishers by being an SSP of choice for agencies and advertisers. PubMatic’s cloud infrastructure platform for digital advertising empowers app developers and publishers to increase monetization while enabling media buyers to drive return on investment by reaching and engaging their target audiences in brand-safe, premium environments across ad formats and devices. Since 2006, PubMatic has been expanding its owned and operated global infrastructure and continues to cultivate programmatic innovation. With a globally distributed workforce and no corporate headquarters, PubMatic operates 16 offices and eight data centers across North America, Europe, and Asia Pacific.”

Job Description
PubMatic is hiring a Fulltime Software QA Automation Engineer to join our growing team in Redwood City.
PubMatic is one of the leaders in the tech stack when it comes to Big data infrastructure and data processing. We at PubMatic process more than 150 Bn ad impressions a day which contribute to around 100 terabytes of uncompressed data. To maintain and process this raw data we have our own data centers across the globe and do in-house ingestion, ETL and aggregation using a mammoth Hadoop infrastructure on top of thousands of BareMetal nodes built from scratch. Having most things built in house, PubMatic is a very early adaptor of new technologies that come along in the big data space.
We are looking for individuals with knowledge and experience of working with distributed environments for becoming a part of our big data test engineering group. The individual will also be responsible for automating various big data flows, performance engineering and fine-tuning the big data pipeline and making sure the quality of the above-mentioned giant business-critical infrastructure is intact. The individual will also get an opportunity to work with the high-speed GPU machines used for rapid computing of large data sets.
Should have minimum of 3 years of experience on working BigData technologies
Hands-on Experience in Automating Backend Applications (e.g. db, REST API’s)
Hands-on experience with Automating any backend applications (e.g db , server-side)
Knowledge of relational databases and SQL
Good debugging skills
Strong working experience working in Linux/Unix environment
Strong understanding of testing methodologies.
Hands-on experience in working on Big Data technologies like Hadoop, Spark
Hand on experience in working with ETL Testing
Hands-on experience in QA Automation Framework development & Design & Strong hold on data structures
Preferred language Python/Shell Scripting
Strong understanding of OS and performance benchmarking
Quick learner and good team member with a positive attitude
Good verbal and written communication skills.

Qualifications
Primary (Mandatory) Skills
QA with good hands-on experience with Unix/Linux
QA experience in Networking and/or Big Data domain
Automation experience into Python
QA Methodologies understanding
Good to have
Experience in Big data platform & data analytics testing is an advantage.
The Software QA Engineer will have the end to end ownership of feature starting from testing, automation (if applicable), deployment and helping with monitoring of the feature(s)

Duties and Responsibilities

Testing big data ingestion and aggregation flows using spark, shell and related queries
Developing automation framework using programming languages such as python and automate the big data workflows such as ingestion, aggregation, ETL processing etc
Debugging and troubleshooting issues within the big data ecosystem
Set up the Big data platform and Hadoop ecosystem for testing
Define test strategy and write test plan for the data platform enhancements and new features/services built on it
Define the operating procedures, service monitors and alerts and work with the NOC team to get them implemented.
Responsible for system & performance testing of the data platform and applications
Solve problems and establish plans and provide technical consultation in the design, development and test effort of complex engineering projects
Review product specifications and write test cases, develop test plans for assigned areas.
Identifies issues and technical interdependencies and suggest possible solutions
Recreate complex customer and production reported issues to determine root cause and verify the fix.
Additional Information
PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
All your information will be kept confidential according to EEO guidelines.

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