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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL preferred. Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Java, AbInitio; Data Mining, Cloud Computing Platforms (GCP, AWS, Azure); Big Data Platforms (Hadoop, Hive, Spark, MongoDB); Generalized Linear Models; Time Series Modeling; Machine Learning Algorithms; Deep Learning (Neural Network, TensorFlow); Model Tuning and Optimization; Data Visualization (Tableau.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Development experience (SQL, Python, R, Java, C#, Spring, REST/SOAP, Hibernate, etc.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Highly knowledgeable in cloud-based data and analytic technology, including coding languages (e.g., Python, Spark), data platforms (e.g., Data bricks, Snowflake, GitHub), MLOPs, as well as business intelligence tools.
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Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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The Director, Analytics and Insights will be central in driving analytic insights and strategic thinking for a specific Spark Foundry account. Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world’s best and most beloved brands and companies.
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Proficiency in programming languages, such as Python, R, Java, or Scala, and experience with data processing frameworks (Apache Spark, Apache Hadoop, etc.) Proficiency in programming languages, such as Python, R, Java, or Scala, and experience with data processing frameworks (Apache Spark, Apache Hadoop, etc.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Data processing with Python utilizing Azure Databricks or similar Apache Spark-based systems. Data processing with Python utilizing Azure Databricks or similar Apache Spark-based systems.
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Financial Services experience is a plus Strong quantitative and problem-solving skills Knowledge and experience with various analytical and business intelligence tools Excellent communication and stakeholder partnership ability Hands-on experience in the use of data to solve complex business problems, leveraging toolsets such as: Qlik Sense, Tableau, Python, R, SQL Experience in Big Data/ Cloud platforms and technologies (AWS, Hadoop, Hive, Pig, Spark, etc.
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Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
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Knowledge of modern cloud data technologies and architectures: Spark, Python, Power BI, Azure, DataBricks. Knowledge of modern cloud data technologies and architectures: Spark, Python, Power BI, Azure, DataBricks.
ExpandApply NowActive JobUpdated 9 days ago
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