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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:
data engineering , access control management , Apache Hadoop, Aws Lambda, Data Modelling, Data Cleaning, Database Programming, Etl Tools, AWS Glue, Node.js, Sql, MySQL, Microsoft Azure, MongoDB, Web Scraping, Python, Big Data Framework, Database Migrations, data marts, Ensuring Data Accuracy
Skills:
ETL / ELT Development, Python / PySpark, Azure Databricks, Azure Data Factory, Medallion Architecture
Skills:
Java, Hadoop, Scala, Apache Spark, Sql, ELT, Apache Airflow, Hive, Oracle Pl Sql, Python, AWS, Etl, HDFS
Skills:
Data Analytics, Data Modelling, Scala, Spark, Databricks, Python, AWS, data governance tools, orchestration tools, ELT data pipeline
Skills:
Data Transformation, Data Modelling, Sql, Data Quality, Data Governance, Data Integration, automation, Python, Data Profiling, data pipelines, performance reliability, Data Flow Diagrams, interface specifications, data models, Mappings, pipeline designs, reconciliation testing, security risk and technology controls, operational runbooks, Resilience, root-cause analysis