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Strong knowledge and hands-on experience in data streaming platform i.e., Kafka. Strong hands-on coding in one or multiple of the mainstream languages (i.e., Java, Python, Golang, etc.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience using commercially available data exploitation and visualization tools for analysis (e.g. MS Excel, Tableau, Wireshark, X-ways, Encase) They work on very interesting, usually highly technical roles in cybersecurity, software development, data science, and related areas for well-known companies and government organizations.
$145,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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) This Senior Data Engineer is responsible for building solutions to build Data Engineering Solutions using next generation data techniques.
$125,760 - $188,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with cloud (AWS and Azure), database technologies (SQL server, PostgreSQL, DynamoDB, Redshift, etc.) The Senior Staff Data Engineer is responsible for developing, maintaining, and scaling a central data science and analysis platform to enable new analytics applications.
$170,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with designing and building highly available and scalable applications in GCP.Experience and hands on skills with GCP Products such as Google Big Query, Cloud Storage, Cloud Functions, Pub/Sub, App Engine, Cloud SQL.Experience and hands on skills with Docker, Kubernetes.
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5+ years of experience architecting, crafting and implementing software solutions, preferably in product development space and 3+ years hands-on experience in distributed computing, data engineering and data analytics.
$148,000 - $276,000 a yearFull-timeExpandUpdated 2 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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Experience with Databricks as a compute environment 7+ years of hands-on experience with building data ingress frameworks and experience with dealing with a wide variety of source data formats.
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Extensive hands-on experience and expertise using modern programming languages and platforms (Java, JavaScript, C#, Python, Ruby, Groovy, Salesforce, etc) 3 years of experience building & deploying applications on a cloud platform such as AWS, GCP or Azure.
$106,900 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse.
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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 experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data. As we continue to use our innovative technology to deliver dynamic direct-to-consumer entertainment for millions of fans across the globe, we are looking for a Lead Data Engineer, Data Platforms who can operate across the enterprise to ensure on-time, high-quality delivery of products and features that directly drive our business.
$80 - $86 an hourFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
$72,900 - $127,575 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
hands on data jobs Title: senior data engineer in Lahaina, Hawaii
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