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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. Monitors and maintains the vendor service records to ensure accuracy of data to reflect the services that each vendor is providing to Mr. Cooper.
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This role is cloud facing and requires hands on experience in building and managing data engineering code in modern cloud-based technologies such as Google Big Query or equivalent. Prior experience with health information systems and/or patient financial service systems preferred Strong SQL and relational database design/development skills Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent.
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Provide thought leadership around best practices in analytics platforms, business intelligence, data management and Big Data. Conduct Business Intelligence and Dashboard Orientation Trainings for business users to increase adoption of BI/data tools.
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Strong Knowledge in Big Data Technologies, PySpark, thorough in one or more programming language like Python. We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
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Conduct in-depth risk assessments for Big Technology companies to identify potential risks in the areas of content and activity moderation, consumer data protection, competition, policies and other mechanisms to counter harm, responsible product/service design, data governance and protection and trust and safety and develop and execute controls testing plans, assessing the adequacy and effectiveness of internal controls in mitigating identified risks.
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. Five (5) plus years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutions.
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In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE. Experience in designing MLOps platforms and architect big data systems on GCP cloud.
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The director provides leadership for enterprise data security strategy, data architecture, and data operations and development. Experience implementing and managing data protection, data loss prevention, and threat mitigation controls and tools.
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big data jobs Title: data manager Company: Rackspace Us in Dallas, TX
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