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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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Develop, train, evaluate, and publish deep learning models, especially NLP models, leveraging educational big data. Access to a vast network of researchers and professionals in the AIED, learning engineering, learning analytics, and educational data mining.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) Strong written and oral communication, data visualization, presentation, and interpersonal skills.
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Enhance first-party data asset and value through deep analysis of website traffic drivers, customer website behavior, and CRM engagement/impact on brand adherence. Knowledge of digital marketing data from various publishers/channels and Adobe clickstream data.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark and the Databricks platform.
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Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.
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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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As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.
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Job Title Big data Administrator Relevant Experience (in Yrs) Min 3-5 yrs Must Have Technical/Functional Skills " Proficiency in the Cloudera suite, including Kafka, HDFS, HBASE, KUDU, Zookeeper, HIVE, Impala, NIFI, SPARK, FLINK, Oozie, Yarn, Atlas, Ranger, RangerKMS, and KTS. " Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Strong experience working on Databricks, DBT and data visualization tools like Power BIStrong knowledge of database technologies, ETL processes, cloud platforms, and big data technologies.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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big data jobs Title: hadoop consultant
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