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The Principal Cyber Data Engineer role will be located in Beltsville, MD. Assist cyber analysts in solving complex big data search processing challenges using expert SPL knowledge.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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A unique opportunity to join a data driven STEM recruitment / executive search business that supplies the world’s leading Hedge Funds & Quant Trading firms with best in class technology talent.
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Experience with data engineering principles and databases, both SQL and NoSQL (experience with Spark, Databricks and data pipelines is a plus). We are seeking a skilled Software Engineer with a strong background in software engineering, cloud architecture, and data technologies.
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Nous sommes actuellement à la recherche d’un Data Engineer (H/F) pour l’un de nos clients. En tant que Data Engineer (H/F), vous serez responsable d'industrialiser et mettre en production des traitements sur les données.
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Experience and ability with database technologies (RDBMS, SQL, DB2, Teradata, MySQL, PostgreSQL) a real plus, as is Authentication solutions and Information Frameworks. Engaging on our Community, answering data analytics questions on various technical queries that Qlik.
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Talend, ODI, Stambia, Kafka, Systèmes distribués (Elastic Search, Mango DB), Tableau, BO, PowerBi, D3JS, API, Bases SQL et NoSQL, GCP, AWS. Tu intègres une communauté Data, en tant que Data Engineer ou Data Analyst.
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Fluency in python- Technologies you may use include Azure services such as Azure Machine Learning, Azure AI Search as well as python, micro services, docker, CI/CD, Elastic Search, SQL and NoSQL.- Plus for LLM experience and Open AI API- Plus for search technologies and vector databases.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Participate in cross-functional teams to support data-related projects and initiativesOnce familiar with the environment, conduct SQL code reviewCreate documentation of important stored procedures, functions, and tables/views.
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Experience in data modelling using HANA Studio, ABAP Development Tools (ADT), Code Performance Rules and Guidelines for SAP HANA, ADBC, Native SQL, ABAP Core data Services, Database Procedures, Text Search, ALV on HANA, and HANA Live models consumption.
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Tesla is in search of a seasoned Supervisory Control and Data Acquisition (SCADA) Engineer to spearhead the design, enhancement, and ongoing refinement of a SCADA system. Reporting directly to the Senior Environmental Manager for California Manufacturing, the SCADA Engineer will collaborate closely with manufacturing operations teams.
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Build and maintain familiarity with Otsuka data engineering tech stack including Python, PySpark, SQL, and Snowflake. By designing and implementing efficient and reliable data systems, the data engineer will help Otsuka make data-driven decisions that inform customer engagement.
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Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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Development 1+ years of Experience with AWS/GCP Cloud or equivalent on data integration with Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, Kubernetes, or BigQuery ecosystems. Mentor and guide junior data engineers in the team Drive and implement automation to empower the organization to scale efficiently and with flexibility Keep up to date with new technologies and methodologies related to data engineering and apply them to improve the data platform Requirements: Bachelor or equivalent 1+ years working Experience in AWS Redshift, Databricks, BigQuery, Oracle, or Graph databases.
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