We’re looking for a strong Senior Software Engineer with Data Engineering experience.

Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines on cloud environments.

Responsibilities:

• Design and develop the data's team micro services - Java services running on K8S.
• Tackle data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more.
• Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources.
• Enrich financial data through third-party data integrations.
• Develop and maintain our data pipeline written mostly in Java and running on K8S in a micro-service architecture.
• Plan and communicate integrations with other teams that consume the data and use it for insights creation.
• Ongoing improvement of the way data is stored and served. Improve queries and data formats to make sure the data is optimized for consumption by a variety of clients.

Requirements:

• Strong background as a software engineer with at least 2+ years experience with Java.
• 6+ years in data engineering, and data pipeline development on high-volume production environments.
• 2+ years experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog).
• Experience in object-oriented development. Should have strong software engineering foundations.
• Experience with data-engineering cloud technologies as Apache Airflow, K8S, Clickhouse, Snowflake, Redis, cache technologies and Kafka.
• Experience with relational and non-relational DBs. Proficient in SQL and query optimizations.
• Experience with designing infrastructure to maintain high availability SLAs.