Data Engineer in Lviv

About the Client: A large and fast growing work platform. It connects up to 50 million active job seekers with employers in the US and Canada. The mission is to put people in the right fit positions to realize their potential. It gives workers the flexibility of working hours and makes employers sure that every shift is filled.

Project Description

Customer

USA

Office Location

Lviv

Project Technologies

1 part: Angular Universal, nx.dev tool, circle CI, .NET
2 part: Java, Python, Kafka, Elasticsearch, AWS

Product

The platform of hourly work in the US and Canada. At the core of our strategy is Marketplace and at the core of Marketplace is our data. It is the source for hourly jobs that means a lot of data (users, jobs, shifts) As a Data Engineer, your job is to drive the connections between complex data entities and their underlying systems which power our marketplace. Data Engineers work to build and maintain the systems that process massive amounts of generated platform data optimizing ingestion pipelines and database systems that support our data platform

Project Team

2 Angular dev
2 Full-stack

What We’re Looking For

Bachelor’s degree in Computer Science or equivalent experience;
3+ years of data engineering;
3+ years of writing software in languages such as Python, C# or Java;
3+ years working with relational databases such as Snowflake, Redshift, MSSQL or PostgreSQL;
3+ years building data pipelines/ETL;
A passion for data quality and clarity;
Willingness to collaborate, explore and share;
Desire to build inspiring data centric experiences that thrill our users;
Commitment to remain curious, open and active in your pursuit of the best practices.

Your Responsibilities

Work on a highly performant data environment that processes 100 million events per day;
Share ownership of a portfolio of applications with a highly collaborative development team that;includes Web, API, DevOps, Data Science and QA engineers;
Explore new technologies and frameworks to advance our architecture and processes;
Use Agile practices to focus on engineering craftsmanship, quality and best practices;
Teach and learn with the team (check out the Snagajob Engineering Blog);
Come up with your ideas for product enhancement and productivity boosts.