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Develops and maintains enterprise infrastructure by creating efficient, adoptable frameworks to be used across the organization for the data operations platforms in use like Databricks, EMR, AWS services, and 3rd party monitoring tools like Monte Carlo and Datadog.
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Senior Software Engineer II - Data , you design, implement, and maintain software systems that accomplish a given goal. Senior Software Engineer II - Data. Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc.
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We are looking for a Senior Data Engineer to join our Philadelphia-based WiFi Engineer team. Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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As a Senior Cloud Data Engineer, you will be responsible for designing, building, and maintaining our cloud-based data infrastructure. Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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The Data Center Technician provides a working level of data center knowledge and is responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, and fire life safety systems.
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Frequent company-wide and team social events such as game nights, cooking classes, summer boat cruises, paint & sip, karaoke, escape the room, bowling, team dinners, baseball games, holiday parties and plenty more
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End to end data and analytics solutions design experience using cloud technologies- AWS S3, Spark, EMR, Data bricks, MPP databases, Redshift/Snowflake right from Ingestion to Transformation to Consumption using various methods including API delivery Minimum Qualifications: Graduation/Bachelor’s.
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Knowledge of Information and Data security (PCI / PII / GDPR / DNCL / e911 / e164) Deep understanding of Contact Center Architecture / Reporting / WFM Integration / IVR / Speech Recognition / Agent Phone Panel (amazon connect streams.
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If the property’s Real Estate Manager is not located at the property, the Data Center Manager’s responsibilities may also include oversight of general facility operations, including, but not limited to, security, janitorial and other facility management functions.
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The Data Engineer will play a critical role in enabling the organization to make data-driven decisions and derive valuable insights from their data assets, including Data Pipeline development, Data Modeling and Architecture.
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Role: Data Warehouse Engineer (Pyspark/ Python, Azure and Snowflake) Au minimum 10 ans d'expérience dans la conception et la mise en œuvre d'une solution de données à grande échelle en production opérationnelle sur Microsoft Azure Snowflake Data Warehouse.
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Proficiency in DataBricks: Hands-on experience and strong technical knowledge with DataBricks, particularly focusing on Apache Spark fundamentals, including Spark Architecture, its API’s, and how to leverage it for data processing and analysis.
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Title: data center engineer Company: Mindsight
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