▷ [3 Days Left] Software Engineer - Data EngineeringTeam

London Full-time Description About Solidus Labs AtSolidus, we are shaping the financial markets of tomorrow byproviding cutting-edge trade surveillance technology that protectsinvestors, enhances transparency, and ensures regulatory complianceacross traditional financial assets and crypto markets. With over20 years of experience in developing Wall Street-grade FinTech, ourteam delivers innovative solutions that financial institutions andregulators worldwide rely on to detect, investigate, and reportmarket manipulation, financial crime, and fraud. Headquartered inWall Street, with offices in Singapore, Tel Aviv, and London, wesafeguard millions of retail and institutional entities globally,monitoring over a trillion events each day. The Role We’re lookingfor a strong Software Engineer with Data Engineering experience.Someone who is proficient in building robust, scalable,maintainable and thoroughly monitored data pipelines on cloudenvironments. As a young and ambitious company in an extremelydynamic space, we pride ourselves on being independent,accountable, and organized, have a self-starter attitude, and bewilling to get their hands dirty with day-to-day work that might beout of their official scope, while keeping an eye on their goalsand the big picture. Responsibilities - Design and develop thedata's team micro services - Java and Python services running onK8S. - Tackle data duplication, velocity, schema adherence (andschema versioning), high availability, data governance, and more. -Develop, design, and maintain end-to-end ETL workflows, includingdata ingestion and transformation logic, involving different datasources. - Enrich financial data through third-party dataintegrations. - Develop and maintain our data pipeline writtenmostly in Java and running on K8S in a micro-service architecture.- Plan and communicate integrations with other teams that consumethe data and use it for insights creation. - Ongoing improvement ofthe way data is stored and served. Improve queries and data formatsto make sure the data is optimized for consumption by a variety ofclients. Required skills - BSc. in Computer Sciences from a topuniversity, or equivalent. - Strong background as a softwareengineer with at least 2+ years experience with Java. - 5+ years indata engineering, and data pipeline development on high-volumeproduction environments. - 5+ years experience with monitoringsystems (Prometheus, Grafana, Zabbix, Datadog). - Experienceworking in fintech or trading industries. - Experience inobject-oriented development. Should have strong softwareengineering foundations. - Experience with data-engineering cloudtechnologies as Apache Airflow, K8S, Clickhouse, Snowflake, Redis,cache technologies and Kafka. - Experience with relational andnon-relational DBs. Proficient in SQL and query optimizations. -Experience with designing infrastructure to maintain highavailability SLAs. - Experience with monitoring and managingproduction environments. - Curiosity, ability to work independentlyand proactively identify solutions. Strong communication skills.#J-18808-Ljbffr