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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2. Product SME for Confluent Kafka, Apache Spark, Talend.
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Distributed Compute: Spark/Databricks. Frameworks: Flask, React, Tailwind, REST. Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Experience with AWS + Databricks Unity Catalog / Model serving.
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Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks. 8+ years experience demonstrating an established track record in Data Engineering and Machine Learning; experience with GPUs as well as expertise in tuning and analyzing Apache Spark workloads.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. · Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow. The ideal candidate will contribute to our Asset & Wealth Management domain leveraging their expertise in Python Apache Spark and various AWS services to drive innovation and excellence.
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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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Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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Experience in Apache Spark, Databricks or similar distributed processing systems. Implement data pipelines using Apache Spark/Databricks. You will primarily be working on Apache Spark/DataLake/Airflow (in Python) and other cloud-based technologies.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree 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.
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Manager, Software Engineering, Full Stack ( Python, Angular, Spark) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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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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Understanding or knowledge in SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark; Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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Familiarity with modern big-data technologies such as Apache Spark or Presto. Familiarity with modern big-data technologies such as Apache Spark or Presto. Hands-on experience in a wide variety of modern back-end & general programming languages, frameworks, protocols, & technologies such as Elixir, Python, SQL, NoSQL, Phoenix, LiveView, WebSockets, ASP.NET, etc.
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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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Experience in executing Scala/Spark code using Databricks framework." Risk IT-Apache Spark/Scala/Big data. Title: Bigdata Consultant (Apache Spark + Scala + Java) Mid exp level Developer : Java/Scala, Sql, Spark.
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Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
spark job Title: assistant Company: Boys And Girls Club Of Bluffton in Fort Lee, NJ
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