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AgileEngine is a privately held company established in 2010 and HQed in the Washington DC area. We rank among the fastest-growing US companies on the Inc 5000 list and the top-3 software developers in DC on Clutch. Facebook, Play Store, and the Webby Awards featured the apps we’ve built.
23 ноября 2020

Senior/Lead Data Engineer

Киев, Харьков, Одесса

What is required?
4+ years experience in software development
Practical experience in building the data collection, validation and normalization
Practical experience building ETL/ELT data pipelines from scratch or using existing frameworks like StreamSets DataCollector (SDC), Fivetran, Apache NiFi
Knowledge of SQL Server or other relational database management systems (Oracle, PostgreSQL, MySQL)
Practical experience of using Data Warehouse(s) with Snowflake or other DW-oriented databases (Google BigQuery, Redshift, etc.)
Practical experience with one of the following languages: Python, Java, Scala
Intermediate English

What will be a plus?
AWS basics
DevOps practice basics
Practical experience in using BI tools such as Microsoft Power BI, Pentaho, GoodData

What will you do?
Build data pipelines(ETL flows) to connect different sources of data together
Designing data structures for analytics
Identification of performance bottlenecks
Serve as a go-to Data Engineering consultant for other team members
Optimize SQL queries
Communication with Engineering & Product management
Alignment with existing development teams

What We offer?
A friendly and a very skilled team with great corporate culture and mentorship (visit us and see it yourself)
Interesting and challenging tasks
Flexible work schedule
Zero bureaucracy
US democratic management style
Opportunities for self-realization, professional and career growth
Cool events and team activities
Professional workshops and training, a great engineering culture

What About the project?

Quanterix is a company that’s digitizing biomarker analysis with the goal of advancing the science of precision health. The company’s digital health solution, Simoa, has the potential tochange the way in which healthcare is provided today by giving researchers the ability to closely examine the continuum from health to disease. Quanterix’ technology is designed to enable much earlier disease detection, better prognoses and enhanced treatment methods to improve the quality of life and longevity of the population for generations to come. The technology is currently being used for research applications in several therapeutic areas, including oncology, neurology, cardiology, inflammation and infectious disease. The company was established in 2007 and is located in Billerica, Massachusetts. For additional Information, please visit www.quanterix.com.

What Quanterix is going to build

ARC: Standalone software application to provide researchers with a tool that automatically summarizes study data from a series of reports into a single, collated documented
Benefits:

Offers users improved efficiency over manual reporting where users manually collate experiments results into a single report by copying & pasting results into Excel/Word/PowerPoint
Moving from a manual to an automated collation process improves data integrity by reducing risk of human error in transposing data from individual run reports into consolidated summary
Tool features can be expanded to capture additional data elements to support GLP (Good Laboratory Practice) and data integrity standards
— GLP: reagent lot/expiry reporting, user records, run QC and validity (curve, control and precision flagging), qualitative result assignment
— Data integrity: validated compiler, audit logs, electronic signatures

The challenge for the data engineer
Each of the platforms puts the data in its own database
It will be some sort of normalizing the data to allow and we’ll be able to pull from each of those databases into the Reporting tool
Reporting tool must be able generate the same set of reports regardless of which database the data was pulled from
And that can be done independent from the existing software

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