Seargin

Seargin is looking for an IT Data Lake Engineer

• Position: IT Data Lake Engineer
• Technologies: Data Warehouse/Data Lake, Bash, Python, SQL
• Localization: Remote
• Form of employment: B2B
• Experience Level: Mid/Senior

The main tasks for the IT Data Lake Engineer will be:

• Creating and documenting data flows and new features of Data Lake
• Executing data analysis and data science tasks

The Candidate should have:

• Familiarity with:
  • Data Warehouses and/or Data Lake principles, architectures, and toolsets
  • Data modeling, architecture, workflow management (orchestration) solutions in distributed systems
• An extensive experience in:
  • Creating data ingestion pipelines basing on various sources
  • Creating data processing pipelines comprising different formats of data
  • Scalable, distributed data infrastructures with the usage of SQL and NoSQL databases
  • Relational database systems
  • Non-relational database systems
  • Writing scripts in Bash, Python with the capability to write test-driven reusable code that is easy to maintain and well documented
• Familiarity with:
  • Code versioning tools, such as Git
  • PyCharm, IntelliJ, GitLab
• Ability to prepare technical requirements based on business input
• At least 4 years of industry experience in the field
• Team-oriented, detail-oriented, efficient, and solution-oriented attitude
• Superb analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Flexibility and ability to work independently and in a team
• Great English skills (written and spoken)

It would be a plus if the Candidate had:

• Experience in:
  • Configuring Business Intelligence Systems and preparing reports and dashboards
  • Docker and Kubernetes
  • Providing technical coordination of ongoing projects
  • Banking or financial sector products e.g. credits, payments, cards
• Knowledge of:
  • Java / Kotlin
  • BigQuery
  • Kibana

The Candidate can expect:

• B2B Contract

• Challenging job in an international and multilingual environment
• Professional development
• Attractive and competitive compensation