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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
$160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience LLMs, vector stores, other big data processing technologies, streaming-data, and large columnar datastores is desirable but not required. Experience with Python, Postgres, Clickhouse, Airflow, Kubernetes, Databricks, Spark and the AWS ecosystem is strongly preferred.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Artificial Intelligence, Data Science, Big Data, Business Intelligence, Data Integration, Blockchain, and Distributed Ledger Technologies. Practical experience in designing, implementing, and managing cloud-based solutions on platforms such as AWS, Google Cloud, Azure, and Oracle.
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Have built and worked on data pipelines using big data technologies (like Spark, Hadoop, EMR, SQL, Snowflake) 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.
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.) 8+ years of relevant work experience supporting Big Data platform applications and solutions.
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 data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelines.
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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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Experience with big data technologies & tools like Spark, Databricks, EMR. Knowledge or certification with AWS services, including ECS (Docker), S3, EC2, Lambda, CloudWatch. Experience with graph-based data workflows such as Apache Airflow, Meson.
$191,100 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
$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). Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Stitcher, Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience with: AWS, Docker, Airflow, Databricks.
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Write pipelines for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, Spark, AWS, and Azure ‘big data’ technologies.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced skills in big data technologies like Hadoop, Hive, Sqoop, Python, Spark, Presto, Apache Zeppelin, Ranger, Kafka. AWS Cloud Technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena, Lambda, Airflow.
$190,300 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago
big data aws jobs in San Francisco, CA
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