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Experience with Big Data frameworks like Hadoop, Spark, Kafka and Athena as well as related tools such as Hive, HBase, and Presto. Architect and Design: Design and implement scalable data solutions using AWS services (e.g., AWS EMR, AWS Athena, AWS Dynamo DB, AWS Glue, AWS S3) and Big Data technologies (e.g., Hadoop, Spark, Presto.
$202,276 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. Utilize Databricks for big data processing and streaming analytics. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform. Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE.
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Design and implement scalable, reliable data pipelines using technologies like Apache Spark, Hadoop, and Kafka. Typical Python Data Engineering library experience like Scikit-learn, Pandas, NumPy, Airflow, Kafka, and Spark.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka). Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
$85 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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6+ years Python and related big-data engineering technologies such as Spark, Hadoop, Kafka, etc. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
$160,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analyze and design data models, data ingestion algorithms and performing data mining to identify patterns for fraud investigation, surveillance, and compliance on structured data sources, including Oracle and Big data solutions.
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The ideal candidate will have hands-on experience in migrating from Hadoop to Databricks and SQL to Databricks, with deep expertise in Apache Spark. Lead Hadoop to Databricks and SQL to Databricks migration projects.
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Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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As a Capital One Director of Software Engineering,you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Lead Data Engineer (Python, AWS, Kafka) At least 2 years of experience in big data technologies.
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