Position: Data Engineer (Scala/Spark)
Company: Data Science UA
Category: Data Science
Experience required: 3y
English level: intermediate
Published: 2021-04-01T00:00:00+03:00

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)

Technology stack:
● 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

Responsibilities:
● Build services/features/libraries that serve a deﬁnitive examples for new engineers and makes major contributions to library code or core services
● Design low-risk Spark process and write effective complex Spark jobs (data processes, aggregations, pipeline)
● Design low-risk APIs and write complex asynchronous, highly parallel low latency APIs and processes
● Work as part of team to maintain, improve, monitor data collection processes using Java and Scala
● Write high quality, extensible and testable code by applying good engineering practices (TDD, SOLID) using Engineering Practices
● Understand and apply modern technologies, data structures, and design patterns to solve real problems efﬁciently
● Understand data architecture and uses appropriate design patterns and designs complex database tables
● Support TA and Data Science team to help deliver and productions their backlog/prototypes
● Take ownership and pride in the products they build and always make sure they are of the highest standard
● Be empathetic towards team members and customers

Beneﬁts and Perks:
● Startup Engineering culture
● Good work/life integration (ﬂexible working)
● Untracked annual leave
● Stock options from day one
● Individual coaching program
● Monthly Hackdays
● Team lunch every Friday
● Perkbox Memberships
● Free Trainers when you join their team
● Social activities to join in

Our engineering culture is underpinned by sharing knowledge, coaching and growing together. You will have the opportunity to explore / innovate new technologies, mentor engineers and lead Technology initiatives. You will enjoy this role if you love writing code, learning cutting edge new technologies, solving problems and winning as a team.

As a Data Engineer, you will be working across our entire stack, so a real passion to drive the product and technology forward is something that we value. Your responsibilities will include helping with a vision for the future architecture of this complex data system, adding innovative ideas that use the latest cutting edge technology. You will work closely with Web and Data Science teams to deliver user-centric solutions to our customers and become an expert in developing high quality technical solutions