Senior Data Engineer in VeliTech

VeliTech is a product company, where everyone is passionate about technology and strives to stay ahead of the curve. Our team is fueled by a deep understanding of cutting-edge frameworks, technologies, and continuous learning.
 
This combo brought us success, 35+ million users served with our iGaming products, breakthrough Tech Radar, and a team of 200+ bright minds who made this happen.

And this team is ready to welcome you in a world of opportunities to grow and expand your expertise.

                          If this piques your interest, then look no further – this is the perfect opportunity for you!

We invite a Senior Data Engineer to join VeliHorizon product team.

Horizon is the API-driven, microservices-based platform that takes online casinos, sports betting, and beyond to the next level. 

Our cutting-edge technology integrates with leading gaming providers for a highly-secured, compliant gaming environment that's designed to meet all clients' needs. 

Tech stack:
Python 3, Kubernetes, PostgreSQL, AWS RDS, Clickhouse, BigQuery
Apache Airflow, Kafka, AWS S3, AWS DMS
Git, Docker, Jenkins, ELK, Prometheus, Grafana

In this role, you will: 

• 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 refactor current applications if deemed fit
• Collaborating with software engineers to capture, format, and prepare data for various purposes
• Develop and maintain the API interfaces necessary to access the data

Skills and experience you will need:

• At least 3+ years of experience as a Data Engineering
• Proficient with SQL and RDBMS, preferably PostgreSQL
• Professional experience using Python for data processing purposes, developing backend microservices, RESTful API
• Experience with Kubernetes
• Strong data munging/processing skills
• Experience in understanding Data Warehouse building principles
• Hand-on experience in designing data pipelines ETL, ELT, exposing processed data to end users

Will be a big plus:

• Experience with Airflow, i.e. creating DAGs, designing and monitoring data pipelines
• Experience with streaming-based, real-time Data Warehouses, mostly interested in Apache Kafka, Spark or similar
• Familiar with CI / CD using Jenkins pipelines or similar tools
• Data synchronization tools/processes between heterogeneous data sources (SQL, NoSQL, DMS, Clickhouse, BigQuery, ElasticSearch etc)
• Degree in Data Science, Statistics, Applied Math, Econometrics, Computer Science, or other related fields

We offer:
Health care

• Medical insurance - full coverage
• Paid sick days - 10 days
• Well-being program

Well-deserved rest

• Paid vacation - 20 days

Work-from-anywhere opportunities

• Home
• Office
• Mix both options the way you want

Learning and Development

• Possibility to visit conferences and professional events
• Internal educational programs

Lifestyle

• Product mindset
• Engineering culture in our DNA
• T-shaped skill set model