Requirements:

• At least 5 years building and extending complex data systems: data flows, lakes, warehouses, ETLs, and tooling on a variety of cloud platforms;
• Very strong Python skills, with at least 3 years of experience;
• Strong SQL writing and tuning skills;
• Expert-level understanding of Elasticsearch, including: Configuration;
• Index Management: Creating and optimizing indices for performance and storage efficiency, including the use of index templates and mappings;
• Query Optimization: Building Elasticsearch queries using the Query DSL and optimizing them for performance, including aggregations, filters, and full-text search;
• Data Ingestion: Ingesting data into Elasticsearch from various sources, including RDBMS;
• Experience building data pipelines with at least two industry-standard tools (e.g., Spark, Hive, Airflow, Stitch);
• Demonstrated experience with data pipeline observability strategies and implementations;
• Keen understanding of how to apply modern software development practices (Agile, TDD, CI/CD) to data engineering efforts.
• Administration
  Performance Monitoring
  Cluster Management
  Security
  Backup and Restore
  Version Management
  Scaling
  Integrations

Will be a plus:

• Experience building or maintaining streaming platforms with Kafka;
• Experience with Py Spark;
• Skills in implementing containerization solutions using Kubernetes, Docker, etc., including containerization observability;
• Experience working with “Big Data as a Service” tools, like AWS’s EMR or Azure’s HDInsight;
• Building and extending ML and Data Science platforms;
• Experience integrating data flows with 3rd party BI platforms, like Domo, Tableau, Sisense, etc.

Our perks

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Flexible working schedule
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Compensation of psychological counseling
• Legal support
• Relocation assistance