Position: Data Engineer (Scala/Spark) in product company
Company: Data Science UA
Experience required: 3y
English level: upper

**Adthena's data team** is a market leader in developing complex ETL and machine learning solutions. With published authors and award winning data scientists who contribute some of the major machine learning and distributed data technologies such as Apache Spark, we are a friendly, passionate group of engineers making a career out of building great software for our customers.

**Preferred qualiﬁcations:**
🔹  Bachelor degree in Computer Science, similar technical ﬁeld of study or equivalent practical experience;
🔹  Commercial experience developing Spark Jobs using Scala;
🔹  Commercial experience using Java and Scala (Python nice to have);
🔹  Experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS - S3);
🔹  Experience designing data models and data warehouses;
🔹  Experience in SQL, NoSQL database management systems (PostgreSQL and Cassandra);
🔹  Commercial experience using messaging technologies (RabbitMQ, Kafka);
🔹  Experience using orchestration software (Chef, Puppet, Ansible, Salt);
🔹  Conﬁdent with building complex ETL workﬂows (Luigi, Airﬂow);
🔹  Good knowledge working cloud technologies (AWS);
🔹 Good knowledge using monitoring software (ELK stack).

**Technologies We Use:**
✔️  Languages: Java, Scala, JavaScript (React, Backbone), SQL and scripting using Bash and Python;
✔️ Frameworks: DropWizard, React, Akka and Play Framework (Scala);
✔️  Databases: PostgreSQL, AWS(S3), Redshift, Redis, MongoDB, Cassandra;
✔️ Technologies: RabbitMQ (messaging), Quartz scheduling, Docker and Kubernetes, Maven;
✔️  CI/CD: TeamCity, Jenkins;
✔️  Source Control: Git (GitHub);
✔️•  Other Tools: IntelliJ IDEA, Jira, Grafana

**Beneﬁts and Perks:**
🏆  Startup Engineering culture;
🏆  Good work/life integration (ﬂexible working);
🏆  Individual coaching programme;
🏆 Monthly Hackdays;
🏆  Medical insurance (premium);
🏆 Free Trainers when you join our team