Location: Yerevan, Armenia
Category: Data Science/Data Analytics
Type: Full time
Deadline: 01-Apr-20 12:00:00 AM
Salary:
Description
Responsibilities
- Help drive the long-term big data architecture and infrastructure by working in conjunction with Product Management to align with business goals;
- Act as a part of the architectural team;
- Develop and operate our data pipeline & manage data infrastructure;
- Work closely with analysts and data scientists and help to develop data-driven dashboards and systems;
- Take on some of the most significant problems in high-performance, scalable analytics;
- Monitor performance and advise on any necessary infrastructure changes;
- Leverage big data processing and automation with Python, Scala, Spark, Hive, Spark Streaming, and more;
- Translate application storyboards and use cases into functional applications;
- Analyze and optimize query/script performance;
- Identify bottlenecks and bugs, and devise solutions to these problems;
- Train and mentor new and junior team members.․
RequiredQualifications
- BS/MA degree in a highly quantitative field or equivalent;
- Experience with Big Data tech stack (Kafka, Spark);
- Experience with complex distributed systems and service-oriented architectures;
- Experience with Python and Scala;
- Knowledge of SQL;
- Knowledge of concurrency patterns;
- Understand fundamental design principles behind a scalable application;
- Experience in building stream-processing systems, using solutions such as Spark-Streaming is a plus;
- Knowledge of various ETL techniques and frameworks, such as Flume is a plus;
- Knowledge of Java (or other OOP language) is a plus;
- Knowledge of Bash Scripting is a plus;
- Ability and willingness to learn new technologies;
- Advanced written and verbal English communication skills.
Familiarity with:
- Various design and architectural patterns;
- Big data processing architectures;
- Code versioning tools, such as Git;
- Build tools such as Maven or Gradle;
- Continuous integration.
Benefits
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