Position: Data Engineer
Company: Binariks
Category: Data Science
Experience required: 3y
English level: upper

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

**About the project:** 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

**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;
Come up with your ideas for product enhancement and productivity boosts.

**Requirements:**

Bachelor’s degree in Computer Science or equivalent experience;
3+ years of data engineering;
3+ years of writing software in languages such as Python or 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.
Would be a plus:

Graduate degree is highly desirable;
Experience with Kafka and data streaming technologies;
Experience with NoSQL databases such as MongoDB, Cassandra or Dynamo;
Experience and passion for Data Engineering and Administration.

**We provide the following for our employees:**

18 working days of paid vacation
10 working days of sick leave annually (5 days paid at 100% and 5 days at 75% rate of your average monthly salary)
Medical insurance
50% cost compensation for English courses at the office
Flexible work schedule
Additional days off for special occasions, national holidays off
A competitive and rewarding salary based on performance appraisals/knowledge evaluation
Possibility to share and gain knowledge on regular tech talks
Friendly and professional team
Innovative projects with advanced technologies
Corporate events
Remote work
Accounting service