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In-depth expertise of database technologies, with a focus on the specified key technologies (MySQL, MariaDB, Galera, PostgreSQL,Experience with streaming data components (Kafka, Spark, Hadoop, Presto/Trino, Redis) is highly desirable.
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Docker / Kubernetes / micro-services / Spark / KafkaCloud platforms like AWS, Azure, Google CloudContact Information. Experienced in dynamic and static languages like Python, Groovy, Java, ScalaUnderstanding of TDD, SQL, Docker, Kubernetes, Spark etc.
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You also have:Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Hands-on experience with distributed systems Hadoop, Spark, Presto, HDP, CDH. Alluxio is trusted by Meta, Uber, Tencent, Tiktok, Alibaba, Expedia, Rakuten, Microsoft, Walmart, and more! Hands-on experience with distributed systems Hadoop, Spark, Presto, HDP, CDH.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of Python, Scala, Spark, Athena, or Databricks. Experience working with big data technologies and ETLs like Spark, S3, and Redshift. Knowledge of Python, Scala, Spark, Athena, or Databricks.
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Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL). Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs.
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Additional Skill(s): Kafka, Python, Scala, Apache Spark. Additional Skill(s) Kafka Python Scala Apache Spark. Additional Skill(s): Kafka, Python, Scala, Apache Spark. Additional Skill(s) Kafka Python Scala Apache Spark.
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Information Delivery Qlik Sense, MicroStrategy. Cloud Lake and Warehouse Snowflake, S3 Data Lake, other comparable technologies.
$118,800 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Required Skills: Extensive working experience with HDFS, Spark, Spark Streaming, Oozie, Hive, Kafka, Kafka Message Queues, Splunk, Flume, Pig, Scala, and Sqoop. Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Experience in end-to-end implementation of projects in Azure, Snowflake, Python, SQL.
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spark job Title: assistant Company: Boys And Girls Club Of Bluffton
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