Data Engineer
Data Engineer
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Job Description
About
Company provides cuttingedge trade surveillance technology that protects investors enhances transparency and ensures regulatory compliance across traditional financial assets and crypto markets.
The Role
Were 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.
As a young and ambitious company in an extremely dynamic space we pride ourselves on being independent accountable and organized have a selfstarter attitude and be willing to get their hands dirty with daytoday work that might be out of their official scope while keeping an eye on their goals and the big picture.
Responsibilities
- Design and develop the datas 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 endtoend ETL workflows including data ingestion and transformation logic involving different data sources.
- Enrich financial data through thirdparty data integrations.
- Develop and maintain our data pipeline written mostly in Java and running on K8S in a microservice 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.
Required skills
- Education BSc. in Computer Sciences from a top university or equivalent.
- Java Strong background as a software engineer with at least 2 years experience with Java.
- DB 8 years in data engineering and data pipeline development on highvolume production
environments.
- Tools 2 years experience with monitoring systems (Prometheus Grafana Zabbix Datadog).
- Experience in objectoriented development. Should have strong software engineering foundations.
- Experience with dataengineering cloud technologies as Apache Airflow K8S Clickhouse Snowflake Redis cache technologies and Kafka.
- Experience with relational and nonrelational DBs. Proficient in SQL and query optimizations.
- Experience with designing infrastructure to maintain high availability SLAs.
- Experience with monitoring and managing production environments.
- Strong communication skills.
Nice to have Experience working in fintech or trading industries.
Employment Type
Full Time
