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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Apache Airflow and Apache Spark; Spark performance turning. Experience with Apache Airflow and Apache Spark; Spark performance turning. Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Biosciences data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect. Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with modern analytic tools, frameworks, systems, and infrastructures (cloud computing, AWS, scalable HPC, virtual machines, dockers, Hadoop, Spark). Dual degrees/certification or relevant experience as an alternative to a degree/certification in (a) Computer Science, Mathematics, Statistics, or related fields and (b) Industrial-Organizational Psychology, Educational Measurement, Psychometrics, or related fields.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, 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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Your deep expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be the cornerstone in architecting a robust data mesh that ensures data is accessible, reliable, and provides actionable insights across the organization.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies. Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake.
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We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, R, and Spark. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, SQL and more - to reveal the insights hidden within huge volumes of numeric and textual data.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway. Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge and experience with analytics tools and platforms including Apache Spark, Hive, Presto, HBase, Kafka, MongoDB etc. Hands-on with “Big Data” technologies with the Hadoop stack (e.g. Spark,MapReduce, Hive, Streaming) and practical experience that allows you distinguish between the implementation reality and the hype.
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Designs, modifies, develops, and implements solutions for ingesting, provisioning and securing data in the Lake (S3), Warehouse (Redshift) and Marts (Redshift and MySQL) using Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR and Apache Kafka.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Utilizing technologies such as Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR, Apache Kafka, and hands-on experience with Talend, the engineer contributes to the entire data processing lifecycle.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge and/or experience working with Apache Spark/Databricks. On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes.
ExpandApply NowActive JobUpdated 8 days ago
spark job Title: assistant Company: Boys And Girls Club Of Bluffton in Washington, DC
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