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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists, work hands-on with Big Data technologies and build scalable data pipelines/infrastructure to support development of health care propensity models.
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As a Senior Lead Data Engineer - Java/Python/AWS at JPMorgan Chase within the Consumer and Community Banking, Data Technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way.
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Hands-on architecture of real time REST APIs or other solutions for streaming data from Graph using Spark. Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins.
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Hands-on experience with data pipeline tools (Airflow, Prefect, etc. Professional experience using Python, Java, or Scala for data processing (Python preferred.
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Strong hands-on coding in one or multiple of the mainstream languages (i.e., Java, Python, Golang, etc. Strong knowledge and hands-on experience in data streaming platform i.e., Kafka.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required.
$125,760 - $188,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive hands-on experience and expertise using modern programming languages and platforms (Java, JavaScript, C#, Python, Ruby, Groovy, Salesforce, etc) AWS/Azure/GCP Certified Developer and DevOps Engineer is a big plus.
$106,900 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions. Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
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Hands-on experience with API/UI automation testing and familiarity with various test automation frameworks. - At least 5 years of hands-on experience in developing feature test strategies and supporting timely project delivery, ensuring production quality throughout the entire lifecycle.
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Must have deep hands-on experience delivering and implementing data lake/warehouse, business intelligence, and data integration on-premises and Cloud-based technologies with RDBMS, ETL/ELT, and BI; such as MS SQL Server, SSIS, SSRS, MicroStrategy, Power BI; Snowflake and Azure experience required.
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As a hands-on expert in Ansys products, you will use advanced-level engineering knowledge to provide technical pre-sales support, perform professional services, and help translate customer requirements into exciting new product features.
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Hands-on architecture/development of ETL pipelines using our internal framework written in Java. Job Title : Sr Data Engineer. Key words to search in resume pyspark, Python, Scala Spark, BigData, AWS S3, Databricks.
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Hands-on experience with AWS, cloud-native architectures, Kubernetes, Docker, and related technologies. Experience in implementing scalable and reliable services using big data processing frameworks such as Hadoop, EMR, Pig, Hive, Databricks, and similar tools.
$150,000 - $200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 5 days ago
hands on python data engineer jobs Title: senior data engineer in Columbia, Missouri
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