Position: Senior Data Engineer, Online Genealogy Servicer
Company: DataArt
Category: SQL
Experience required: 3y
English level: upper

The client is an international company that provides an online genealogy service that helps its clients understand their past and family history.

We are looking for a Data Engineer who will join a team working on the maintenance of the data workflow and ingestion of scanned newspaper image data. This involves handling a lot of data throughput in a reliable and consistent way.

The specialist will help the existing team to manage the file systems, databases, and data ingestion into Solr, as well as managing internal, web-based tools that the client’s Quality Control team uses to validate images before they are published.

There is also an element of DevOps and Systems Administration - the team works with a significant number of physical and virtual servers, handling deployment pipelines, etc.

In the coming months, the client will be investigating an option to include Machine Learning techniques as part of a process to improve the quality of their OCR. There is a likelihood that they will apply some ML techniques over the course of this project, but this is likely only to constitute a part of the role.

There are multiple teams consisting of 5-7 people. The teams include DataArt engineers and stakeholders from the client side working in a mature Agile environment.

We hire people not for a project but for the company. If the project (or your work on it) is over you go to another project or to a paid “Idle”.

Responsibilities:

Managing file systems; managing databases; managing data ingest into Solr and managing Solr at scale
Handling large amounts of XML
Management of internal, web-based tools
Potential to use ML techniques as a part of the process of improving the quality of their OCR, possibly after a few months

Must have:

Experience with SQL (MySQL) databases and handling large amounts of data
Comfortable working from the terminal in Linux/Unix (Ubuntu)
Good knowledge of at least one programming language (Ruby, Python etc.)
A hands-on approach to getting stuff done
A curiosity to learn and widen your skillset
Rails (for internal web-based tools)
Experience with ZFS, XML
Tensorflow (not extensively so far – used for ML work)
AWS/Azure (used from time to time)
Experience with Apache Solr

Would be a plus:

Focus on quality, with testing experience and a willingness to pair collaboratively
Background in DevOps/Systems Administration
Experience with Docker, Git, Kubernetes
Experience with XML processing
Working knowledge of, or an interest in image data processing