Senior Software Engineer Data Engineering Team

Description

About Solidus Labs

At Solidus, we are shaping the financial markets of tomorrow by providing cuttingedge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets.

With over 20 years of experience in developing Wall Streetgrade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.

The Role

We’re looking for a strong 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 Python 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.
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  Requirements

  • BSc. in Computer Sciences from a top university, or equivalent.
  • Strong background as a software engineer with at least 3+ years experience with Java.
  • 5+ years in data engineering, and data pipeline development on highvolume production environments.
  • 5+ years experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog).
  • Experience working in fintech, crypto or trading industries, and familiarity with FIX is an advantage
  • 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.
  • Proven experience with relational and nonrelational DBs. Proficient in SQL and query optimizations.
  • Experience with designing infrastructure at scale to maintain high availability SLAs.
  • Experience with monitoring and managing production environments.
  • Curiosity, ability to work independently and proactively identify solutions. Strong communication skills.
  • Excellent verbal and written communication skills in a remote environment.
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