Sr. Data QA Engineer

| Greater LA Area
A collaborative and innovative culture, Bridg offers highly advanced technology to identify and track purchasers in a physical retail store. Bridg's technology relies on data science and probabilistic modeling to identify and track the purchasers. A problem that is changing the world of physical retailer.
Our platform is a combination of a large scale near-real time data pipeline (10s of billions of data points of sale transaction data from major retailers) and over 100 microservices built using latest best practices such as 12 factor. Our current tech stack includes Cassandra, Hive, Flink, Java, Athena & Presto, Glue, EMR, Kafka, Elasticsearch, and Java spring boot based microservices. We partner and integrate with companies with best closed data sets and data intelligence.
As a Sr. Data QA Engineer at Bridg, you are responsible for building/maintaining automation frameworks for Big Data projects, working closely with engineering and product teams for our B2B | SaaS product. You will use your engineering acumen and passion for quality to drive results for and with our teams bringing cutting-edge big data products to market. This is not a typical GUI automation kind of role, you must have worked and built automation frameworks on Big data / high volume data pipelines
/ ETL projects. 
An ideal candidate will be someone with sound technical background in data domain – storage / processing / analytics, has solid business acumen and a strong automation / solution oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive & devise best possible solution. Is a great communicator and at ease on partnering with business owners and other internal / external teams. Can explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight & business impact / end result and ‘gets it done’ in business time.

Key Responsibilities

  • Testing and developing automation for high volume data pipelines, ETL transformations, and other data integration workflows across multiple sources while applying best practices in data integrity, data quality, and distributed data processing.
  • Designing and developing testing infrastructure and executing automation scripts on a scheduled basis for Big Data Platforms with understanding of Big Data programming models.
  • Perform both manual testing, and implementing test automation frameworks (especially for data pipeline projects).
  • Research related products and make necessary software recommendations & implement innovative solutions
  • Perform load testing utilizing JMeter scripts.
  • Testing / automating REST API services.
  • Report and document QA activities and project status to Engineering and Product Management on a weekly basis.
  • Write test plans, test cases, status reports and summary reports.
  • Participate in daily scrum and bi-weekly sprint planning meetings.
  • Assisting QA functions for the engineering team, providing guidance, support, and direction for the growing QA team (onsite and offshore).
  • Automating IT operations tasks, batch job scheduling, and job orchestration.

Desired Skills and Qualifications

  • Bachelor's degree in Computer Science, Math or a related technical field from an accredited institution, and 5+ years of relevant employment experience.
  • 5+ years of developing end-to-end Business Intelligence solutions: data modeling, ETL and reporting.
  • Must have at least 5 years of programming and automation experience including REST API services. Developing automation tools and scripting languages such as Java, Javascript/NodeJS, Python, Perl, Ruby and Bash.
  • Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
  • Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutions
  • Strong verbal and written communication skills, including an ability to effectively lead and influence interactions with both business and technical teams.
  • Advanced SQL writing and expertise in data warehousing (SQL, ETL, Data Modeling, etc.) and using databases such as MYSQL, Postgres, Cassandra, MongoDB, Hive etc.. in a business environment with complex datasets.
  • Knowledge of Hadoop, Kafka, Spark and other big data .
  • Excellent analytical and problem solving skills
  • Experience in leading team of QA Engineers and working in Onsite/Offshore model
  • Experience with continuous integration tools such as Jenkins, CircleCI etc.
  • Ability to work independently and a part of a team - Team attitude and ability to multi-task

An Ideal Candidate

  • Utilize QA automation tools such as Selenium, SoapUI.
  • Knowledge of database tuning and what effects performance
  • AWS services experience and cloud based automated testing
  • Experience with continuous integration tools such as Jenkins, CircleCI etc.
  • Utilize hosted load testing services such as BlazeMeter and FloodIO to distributing the load geographically.
  • Perform cross browser and multi-device testing

About Bridg:Bridg is a marketing software company that provides a CRM solution, email and SMS marketing, insights and analytics, mobile app and loyalty program development for restaurants and retailers. Powered by transaction data, Bridg builds unique 360º customer profiles to understand individualized behavior patterns, providing clients with deep data science used to create wide-reaching, effective personalized marketing campaigns that drive traffic and sales in a measurable way. Our headquarters is located in West LA / Santa Monica, and we offer competitive salaries, great benefits, and a high-energy environment with lots of room for personal and professional growth.

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Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • ClojureLanguages
    • ReactLibraries
    • Node.jsFrameworks
    • SpringFrameworks
    • CassandraDatabases
    • HiveDatabases
    • MongoDBDatabases
    • MySQLDatabases
    • PostgreSQLDatabases
    • RedisDatabases


Located only blocks away from the Expo line in the Sawtelle-Japantown neighborhood, we are surrounded by dozens of restaurants, bars, and great shops!
11388 W Olympic Blvd., Los Angeles, CA 90064

What are Bridg Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Retirement & Stock Options Benefits
Company Equity
Perks & Discounts
Company Outings
Game Room
Stocked Kitchen
Happy Hours
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