Position: Data Engineer
Company: RQ Team
Category: Data Engineer
Experience required: 2y
English level: intermediate

Newage is a product-led company connecting people and technology to make the teams and clients succeed. The product teams inside Newage develop platforms for fintech, iGaming, insurtech and other businesses.

Lavatech team, at NewAge, is looking to expand its DevOps team, whose primary focus will be on building and maintaining an AWS-based infrastructure for the CFD trading platform, driving operational excellence best practices, identifying opportunities to maintain platform quality to bring system availability and observability to the next level.

This is an excellent opportunity to join our team, working with some of the best and brightest engineers using the progressive cut-edge technology stack and applying modern best practices.

Requirements:
- Experience working with BI sphere for more than 2 years
- Experience with DB
- SQL - 4+ years
- PostgreSQL – 2+ years
- Experience with Python for Data Engineering 2+ years
- Experience designing and monitoring data pipelines
- Strong data mining/processing skills
- Experience in understanding Data Warehouse building principles
- Hand-on experience in designing data pipelines ETL, ELT, exposing processed data to end-users.

Responsibilities:
- Architect, Design and implement ETL pipelines for multiple data sources ingesting massive amounts of data daily;
- Develop and maintain new projects and tools around the data warehouse;
- Optimize, improve, and do refactoring of current applications if deems fit;
- Collaborating with software engineers to capture, format, and prepare data for various purposes;
- Report creating in Metabase and Qlick Sense systems for customers.

It will be a plus:
- Working experience with Metabase and Qlick Sense, Tableau systems;
- Experience with ElasticSearch or other NoSQL data stores;
- Experience with streaming-based, real-time Data Warehouses, mostly interested in Apache Kafka, KSQL, Spark, or similar;
- Familiar with CI / CD using Jenkins pipelines or similar tools;
- Data synchronization tools/processes between heterogeneous data sources (SQL, NoSQL, DMS, Debezium, ElasticSearch, etc);
- Degree in Data Science, Statistics, Applied Math, Econometrics, Computer Science, or other related fields.

We take care of your:
- Health
- Health insurance coverage;
- Paid 20 working days of vacation;
- 10 days of paid sick leave;

Wellbeing
- Paid lunches in the office;
- Full support with all PE-related activities;
- Competitive salary and encouragement for your efforts and contribution;
- Financial support in critical situations;
- Professional development
- Transparent career path and growth opportunities;
- Internal and external learning activities;
- Corporate English courses;
- Opportunity to visit paid conferences and events etc.