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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino. Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others. Extensive knowledge of data warehousing and data lake concepts and hands-on experience deploying pipelines using Databricks.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Must have hands on Snowflake, AWS and Airflow. Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers.
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Hands-on production experience with orchestration systems such as Airflow. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on production environment experience with distributed processing systems such as Spark. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Minimum of 4 year’s of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP) Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery.
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Hands-on experience with Databricks, Snowflake, Datalakes (S3), Data-Warehouses, and Databases. Solid understanding of data security principles, architectures, and services (AWS or Azure preferred.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
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hands on big data engineer jobs Title: senior data engineer Company: Wise Skulls in Lahaina, Hawaii
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