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Develop, deploy, and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
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Practical experience in designing, implementing, and managing cloud-based solutions on platforms such as AWS, Google Cloud, Azure, and Oracle. Knowledge of Artificial Intelligence, Data Science, Big Data, Business Intelligence, Data Integration, Blockchain, and Distributed Ledger Technologies.
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Have built backend cloud-based services in a production environment, using languages like (but not limited to) Ruby, Java, Scala, Python, Go, and tools like AWS. Have built and worked on data pipelines using big data technologies (like Spark, Hadoop, EMR, SQL, Snowflake.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in Big Data, Hadoop, Spark, HDFS, Hive, HBase, Kafka, Impala, Spark, and AWS, EMR. Hands-on experience with big data (Hadoop / Cloudera, Cloud, etc.) Cloud/AWS is nice to have.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Extensive experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS). Ensure data privacy and compliance standards are met in all data engineering and machine learning initiatives.
$258,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with distributed systems, microservices architecture, cloud platforms (AWS, Azure or GCP) and RESTful APIs. Develop and support cloud-based big data pipelines. Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker.
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Hands-on expertise in cloud services like AWS, and/or Microsoft Azure. Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ Accelerated Computing portfolio (i.e. HPC, AIML, big data), among others.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Build cloud-based data warehouse pipelines using standard big data components (Spark, Iceberg) and AWS services (EMR Serverless, S3, Athena, Lambda, Kinesis, Glue). Previous experience in software or cloud development - work projects, internships, summer jobs, etc.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge and experience in Cloud technologies - AWS/GCP/Azure - Big advantage. Knowledge and experience in Log Analytics/Monitoring/APM - Big advantage. Consistent track record of exceeding quota and driving referenceable business in cloud technologies.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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AWS Cloud Technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena, Lambda, Airflow. Working with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Advanced skills in big data technologies like Hadoop, Hive, Sqoop, Python, Spark, Presto, Apache Zeppelin, Ranger, Kafka.
$190,300 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Expertise in AWS cloud services, Terraform was a big plus. Expertise in AWS cloud services, Terraform was a big plus. Design, develop, and maintain robust backend services, APIs, and systems written in TypeScript & Node.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
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