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Lore IO is a collaborative data preparation platform

Implementation Engineer

$110k – $140k • 0.1% – 0.3%
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ABOUT Lore IO

Today any company looking to extract value from their data is forced to spend 80% of their resources, time and effort in making the data actionable - be it for insights, analytics, ML/AI or operationalization. Lore IO is squarely targeting to dent this problem. Lore IO has built a collaborative platform that enables companies in realizing value from their data faster, easier at a significantly lower cost. The Lore IO platform simplifies the process of integrating, preparing, and re-shaping data using our novel schema virtualization technology. Lore IO is a well-funded, early-stage startup. After roughly a year in market, Lore IO already has several
industry-leading customers from a variety of verticals, with millions of dollars in annual recurring
revenue.

YOUR COLLEAGUES

Lore IO engineering team is a small but diverse group of data scientists from top universities and veteran hackers who are experts in search, analytics, machine learning, and data mining with proven track record of successful startups as well as large companies experience.

YOUR ROLE

Lore IO is staunchly customer focussed. We partner very closely with the customer on the implementation of their initial use case. You would be Lore IO's face to the customer as the expert to implement their use case. You will also be the customer's champion within Lore IO to continually improve our product to better suit the customer's user flow. You will be trusted to make big decisions on your own but with the proper support. In this role you will also be engaging very directly with the core LoreIO product platform to engineer and extend its capabilities as and where needed for the customers.


MINIMUM QUALIFICATIONS

- Familiarity with SQL concepts ( LoreIO platform auto-generates the requisite SQL but understanding the underlying concepts is important )
- Good conceptual grasp of data schema and mapping various data operations to structured/semi-structured data
- Familiarity with using Restful APIs
- Cloud big data platforms (ex: AWS, BigQuery, Azure, ...)
- Python
- 2-5 years hands-on experience with data wrangling

PREFERRED QUALIFICATIONS
- Experience with distributed data cluster frameworks ( ex: Cloudera, Hortonworks, Hive or similar )
- Full Stack developer
- Ability to understand customer's ETL pipelines ( that is what we eliminate )
- Customer empathy
o good listening and communication skills
o strong sense of ownership and championing customer needs
o productivity

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