DataOps Field Engineer - APAC

Tamr

Sydney, AU
  • Job Type: Full-Time
  • Function: IT
  • Post Date: 04/28/2021
  • Website: tamr.com
  • Company Address: 66 Church Street, Cambridge, MA, 02138

About Tamr

With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award winner) and backed by investors including NEA, Google Ventures, and GE Ventures, Tamr is transforming how companies get value from their data.

Job Description

Company Description
 
Tamr is the enterprise-scale data unification company trusted by industry leaders like GE, Toyota, Thomson Reuters, and GSK. The company’s patented software platform uses machine learning supplemented with customers’ knowledge to unify and prepare data across myriad silos to deliver previously unavailable business-changing insights. With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award winner) and backed by founding investors NEA and backed by founding investors NEA and GV, Tamr is transforming how companies get value from their data.
 
At Tamr we believe that clean, up-to-date data is the sine qua non of informed decisions. We assert that the best way to create accurate data is with human guided machine learning that improves over time.  We believe that human intelligence cannot be replaced by machines. We are building the core set of tools to enable companies to leverage their existing domain expertise and data to produce clean, up-to-date data that fuels better decisions and delivers transformational business outcomes.
 
Job Description
Tamr DataOps Engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions. As the company’s outward-facing, technical resource, the work of the whole group is varied. We build prototypes, direct product development, work with sales on accounts, implement pilot solutions, and deploy full production rollouts. DataOps Engineers are expected to be highly efficient and resourceful when leading these projects. We are a US Based company but rapidly expanding in APAC, and we are looking for a DOE who thrives working with our existing local partners and customers, as well selling, onboarding and working hand in hand with the next wave of Tamr prospects.
 
 
Qualifications
We are looking for someone who loves to write code, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic and operational insight. We are looking for engineers interested in creating front line code to solve real customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding.
 
 

Challenges that make this job interesting:

    • The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way
    • Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

This job might be a good fit for you if:

    • You have strong data science and/or software engineering experience
    • You are excited about working for a startup and being a key contributor in a new office
    • You enjoy working with customers and have excellent interpersonal skills
    • You enjoy educating prospects on the the data landscape, and the Tamr solution by means of tailored product demonstrations - target audiences include end users, IT staff, executive sponsors, industry analysts
    • Defining and scoping the deliverables of proof of concept projects with clients, and then leading these exercises.
    • Enabling partners and accelerating the local market by multiplying your impact through others.
    • You have machine learning knowledge/experience
    • You understand the value of data and how it can truly transform an organization
    • You’ve dealt with lots of data - messy, siloed and disparate data sources - and understand how to develop pipelines to clean and get this data ready for analysis
    • You’re a great story teller - you can take large amounts of an organization’s data and develop visualizations and presentations using that data to highlight insights and specific actions the organization can take to improve. This is to both technical and business audiences.

Qualifications:

    • BS, MS or PhD degree in Computer Science / Software Engineering, Physics, Mathematics or similarly quantitative/technical field
    • 1+ years of post-graduate working experience in industry
    • Polyglot programmer, with experience using technologies such as Python, Java, R, SQL
    • Willingness and ability to travel to client locations on occasion

Other Preferred Qualifications / Nice to Have:

    • Deep understanding of data integration and transformation patterns such as messaging, ETL. 
    • Hands-on experience with enterprise and corporate systems from a data architecture and development perspective
    • Hands-on experience with traditional data warehouse technologies and BI or visualization tools
    • Machine learning knowledge/experience
    • Front end software development expertise.  JS in particular
    • Experience building enterprise applications, including integration with COTS systems
    • Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, Java, AWS
    • DevOps and/or cloud solutions deployment experience a plus
    • Advanced quantitative technical degree (MS or PhD) preferred
Additional Information
 
This position is available in Sydney, New South Wales Australia.
 
Tamr provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.