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Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies. Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
$16.5ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of hands-on experience with big data processing frameworks, such as Apache Spark. 5+ years of strong experience in data engineering, specifically with AWS backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, EMR, and Athena.
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With that in mind, we are seeking an Innovation Manager that can act as a creative spark and the cross functional team leader to ignite big ideas, establish strategic foundations, influence and inspire, and build business for innovation platforms worth investing in.
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Experience with building stream processing systems, using solutions such as Storm or Spark-Streaming and messaging services such as Kafka, RabbitMQ, etc. You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Current projects include development using Scala, Python, Apache Spark, SQL Server, Apache Parquet, Microsoft Azure technologies, and Microsoft Azure DevOps. Join us in our effort to create the highest quality financial research data and providing the input for some of the most influential financial research studies.
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Illinois Humanities, the Illinois affiliate of the National Endowment for the Humanities, is a statewide nonprofit organization that activates the humanities through free public programs, grants, and educational opportunities that foster reflection, spark conversation, build community, and strengthen civic engagement.
$6,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Qualifications:Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics or another field of scientific and quantitative natureExpertise programming in Python, R, Spark and other relevant languages for data scienceExpertise working with language models like OpenAI GPT or others and utilizing their capabilities for generating and evaluating content.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Familiarity with Adobe video editing tools such as After Effects, Premiere, and Spark is desired. Familiarity with Adobe video editing tools such as After Effects, Premiere, and Spark is desired.
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. 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.
Starting at $70 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Elasticsearch, PostgreSQL, Spark, Hadoop, and data analysis. Knowledge of configuration management utilities (Chef, Salt, Ansible) and container-based deployment solutions (Docker, Kubernetes.
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Extensive experience working with RDBMS, Spark, Hadoop, Kafka. Experience with AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
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Any level of experience with designing and developing matrix based on clickstream data using in-house tools including Ultron, ZombieRunner, and technologies including Spark-Scala, Big Data, Teradata, MySQL.
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High performance/cloud computing experience (AWS, GCP, Openstack). Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
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spark job in Chicago, IL
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