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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Software development experience in big data technologies Databricks, Hadoop, Hive, Spark(PySpark.
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Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced competency and expertise in several Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)Big data processing techniques, preferredRetail, customer loyalty, and eCommerce experience, preferred As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
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Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
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Experience with cloud environments such as AWS, GCP. Experience in developing near real-time distributed data processing solutions using Kafka, Flink, Spark, Kubernetes, Airflow. Familiarity with GCP Big Query and Presto is a plus.
$220,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience analyzing clickstream web data using Hive SQL, Big query, and Google Cloud. Domain expertise in payment processing methods including card network, ACH, check, virtual cards, digital wallets, and international payments.
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This team owns the low-level network drivers for high performance packet processing in the BIG-IP’s data-plane. The data-plane could be inside a full-fledged virtual machine running on a hypervisor or as a group of pods running in a Kubernetes environment.
$192,149Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage machine learning, information retrieval and big data processing technologies to empower ranking, recommendation, and content experiences. Create comprehensive data management systems for scalable data collection, labeling, processing, and evaluation.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch. Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar.
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
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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 Today - UpvoteDownvoteShare Job
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3+ years' experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Big Data, Spark Streaming, Kafka, Hadoop, Map Reduce, Hive.
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big data processing jobs in Seattle, Amarillo, Texas
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