Senior Big Data Engineer

7+ years of overall engineering experience with 4+ years in data engineering experience
4+ years of experience in Java
Python and Scala (advantage)
Experience with Pipelines/ETLs/Hadoop/Hive/Spark/Kafka/Streaming systems
Experience working with SQL and NOSQL databases.
Build and maintain performant and scalable high volume applications.
Strong system architecture knowledge
Working knowledge of Linux, Docker, Container Orchestration
Proficient with Git version control system
Collaboration with developers, product managers, business operations and customers
BS (or higher) in Computer Science or related degree
Work in an Agile development process
Excellent communication skills
Team player

Implement and maintain high scale Big-Data solutions and contribute to our platform infrastructure and architecture.
End-to-end feature development and ownership, from design to production.
Take part in building & designing the next generation data infrastructure of the company.
Research innovative technologies for building high scalable data applications.
Working with various stakeholders: Product, Engineering, Data providers etc.

Experience with Vertica, Clickhouse, MySQL, Oracle, Spark, RDS, Trino, MongoDB, Redis
Experience with Kubernetes
Experience in AI/Machine Learning
Basic understanding of online advertising technologies
Running Linux systems in production
System Monitoring Systems: Prometheus, Grafana, DataDog, Kibana, InfluxDb etc.
AWS Service Experience (e.g., EC2, ECS, Kinesis etc.)
Experience with other SQL & NOSQL DBs.
Experience in Scala