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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Title: Kafka/Hadoop Admin (L3- Support Engineer) Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2.
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Deep understanding of streaming data components, including Kafka, Spark, Hadoop, Presto/Trino, Flink and Redis. Demonstrate deep expertise in our core data streaming components, including Kafka, Spark, Hadoop, Presto/Trino, Flink and Redis in a low latency environment.
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Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis). Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis.
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Scala and relational databases/tools like SQL, Teradata, Snowflake, etc. MBA, Master's, or PhD in a quantitative field preferred: Statistics, Applied Mathematics, Computing and Information Theory, Econometrics, Biostatistics, Operations Research, or Industrial / Electrical Engineering.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Proven capability with MS Excel and relational database program(s) (e.g., MS SQL Server, MySQL, Oracle, Teradata) or statistical or data analysis programs (e.g., SAS, SPSS, Stata, R, Python) with a desire to expand those capabilities.
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Knowledge of real-time data streaming and real-time analyticsKnowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory)Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Leverage analytic tools and platforms in support of data evaluation and management activities, e.g. Tableau, Dataiku, Snowflake, Hadoop, Spark, SQL to evaluate data coverage, quality, interoperability, and fit within Pfizer's existing data ecosystem.
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Knowledge of big data platforms such as Apache Spark, Hadoop, Apache Fink or AWS engineering. Cloud Certifications such as AWS Cloud Practitioner or similar. Knowledge of big data platforms such as Apache Spark, Hadoop, Apache Fink or AWS engineering.
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Maintain and develop applications for storage, computational, and virtual servers on a Linux operating system utilizing SQL, Oracle, NoSQL, Hadoop, and programming languages, including C. C#, Shell Script, Python, and SQL; utilize virtualization environments to create and manage virtual machines, including VMware ESXI and Virt-Manager; integrate Network Attached Storage (NAS) and Storage Area Network (SAN) devices; perform data security through connections to internal and external networks; utilize software systems including, Linux/Unix, Windows, and MacOS; build and configure hardware and server components.
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Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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2+ years of experience building highly scalable data solutions using Snowflake, Hadoop, Spark, Databricks 2+ years of experience working in cloud environments (AWS and/or Azure). 2+ years of experience building highly scalable data solutions using Snowflake, Hadoop, Spark, Databricks 2+ years of experience working in cloud environments (AWS and/or Azure.
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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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