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DATA ENGINEER
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Core Languages: Proficiency inPython and SQL (specifically for time-series databases).
Time-Series Data: Experiencewith databases suited for sensor data (e.g., InfluxDB, TimescaleDB, orIoT-specific data stores).
Connectivity & Protocols:Familiarity with industrial communication protocols (e.g., Modbus, OPC UA,MQTT) commonly used in marine automation.
Data Processing: Experiencewith stream processing frameworks (e.g., Apache Kafka, Flink) to handlehigh-frequency sensor streams.
Data Warehousing: Knowledge ofcloud-based warehousing (e.g., AWS IoT Core, Azure IoT Hub, Snowflake).
DevOps & Security:Implementation of secure data transmission and deployment practices inalignment with maritime cyber-security standards.
Job ID: 152497483
Skills:
Python, data cleaning validation, sequence number continuity, market data architectures, A-B arbitrage data alignment, low-latency processing techniques, contract symbol mapping, implied order matching, multicast snapshot recovery, order book reconstruction, market data delivery, historical MBO data lifecycle, real-time feed handler connectivity, Pcap parser development
Skills:
MLops, Scala, AWS Glue, Tableau, Python, Sql, SageMaker, Salesforce integration via AppFlow, CDC patterns, AWS Lake Formation
Skills:
snowflake , Google Cloud Platform, Sql, ELT, Nlp, Docker, MySQL, MongoDB, Python, Etl, Airflow, LLMs, vector databases, Cloud Composer
Skills:
Java, Scala, Kafka, Sql, Spark, Python, Airflow, pgvector, Pinecone, OpenSearch, Azure AI Search, Weaviate
Skills:
snowflake , Python, Sql, dbt, Dagster, Fabric
