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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy.
$117,300 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Strong programming skills with one or more languages such as Python, PySpark, Apache Spark, Java, JavaSript, C, C. Extensive experience using Snowflake, AWS SageMaker, GCP/GCP BigQuery, DBT, and Airflow for AI/ML model deployment and operationalization.
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Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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Design and build data pipelines using big data technologies (e.g., Apache Spark) to extract, transform, and load data from various sources. Working on one Agile life cycle management tool such as Jira or Azure DevOps.
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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.
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Experience with middleware products such as webMethods, Appian, Apache, Spring Boot, JBoss, WebSphere, WebLogic, Tomcat. Experience with middleware products such as webMethods, Appian, Apache, Spring Boot, JBoss, WebSphere, WebLogic, Tomcat.
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More than 10,000 organizations worldwide - including Comcast, Condé 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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High-velocity high-volume stream processing with Apache Kafka and Spark Streaming. Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
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Experience working platform like Apache Spark, Apache Flink, Glue, Kafka Experience with SQL/ NoSQL platforms such as Redshift, DynamoDB, Tiger graph, Snowflake Experience with Orchestration tool like Alteryx, Terraform, Salt, CloudFormation Good knowledge of Cloud AWS, Azure, OCI (+ knowledge of CSP-specific services) Experience with incident management tools.
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Storage and processing of large unstructured data on cloud (S3, Glue, EMR, Lambda & Apache Airflow) Java 8+, Python 3, ECMA Script 6, ReactJS, Redux, Kubernetes, Service Mesh, Spring Boot, MongoDB, AWS Databases (RDS/DynamoDB/DocumentDB), S3, Lambda, Kafka, Spark, ALB & NLB, OpenID Connect, CI/CD tools, SNS, SQS, Event Bridge, Kinesis, Data lakes on AWS, Redshift or Snowflake.
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Technologies such as Python, Teradata, MYSQL, SQL Server, RDBMS, Apache Airflow, AWS S3, AWS Datalake, Unix scripting, AWS Cloud Formation, DevOps, GitHub. Technologies such as Python, Teradata, MYSQL, SQL Server, RDBMS, Apache Airflow, AWS S3, AWS Datalake, Unix scripting, AWS Cloud Formation, DevOps, GitHub.
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Prior experience using, or knowledge of Google Cloud Pub/Sub, PostgreSQL, ElasticSearch, Apache HBase, Apache Kafka. Prior experience using, or knowledge of Google Cloud Pub/Sub, PostgreSQL, ElasticSearch, Apache HBase, Apache Kafka.
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3+ years of experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming. Sr. Big Data Engineer-Remote. 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g., AWS, GCP, etc.
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apache job in Atlanta, GA
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