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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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As part of this role, you'll work on designing cloud native solutions and will have the opportunity to work on emerging technologies such as: AWS, Java, Python, Endpoint technologies, Big Data technologies, to name a few.
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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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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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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Experience implementing monitoring, quality assurance, data validation processes in a relational and big data environment (metrics-driven reliability and performance) BS or MS degree in a quantitative field such as computer science, physics, math, engineering, or economics.
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Highly skilled in the data space especially in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) Expertise in Data governance, data lineage, data quality, and data cataloging.
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Hands-on experience with AWS big data analytics, Redshift, Kinesis, Lambda, Glue catalog, Athena, Airflow, Databricks, Python, Kafka, Spark and PySpark. Experience understanding of relational, structured/unstructured and semi-structured data with designing data lake, data governance, data lineage and data quality.
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With the advent of generative AI models and more sophisticated predictive modeling tools, this is a big growth area for Alkami, and this General Manager and P&L owner will play a pivotal role in Alkami's future as a data solution company.
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We have partnered with our client in their search for a Java Spark Developer in Plano, TXResponsibilities As a Software Engineer - you serve as an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way.
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DevOps Tools: Docker, Kubernetes, Jenkins, Terraform, Git, Big query, Firebase. Utilizes Apache Airflow for scheduling and monitoring data workflows to ensure timely data delivery.
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Will have true software engineering skill set for Data Engineering. Experience in Spark or other large scale data processing. Experience working with large data sets, ETL, or applications that do high-volume data collection.
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Mentors the team in analytics-big data, predictive modeling, prescriptive analytics, AI/Machine Learning (ML), etc. Leads the data scientist and data engineering staff within the Center for Analytics and Insights (CAI.
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Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc. Solid theoretical background in machine learning and/or data mining. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Experience with big data technologies like Spark or Kafka. If you are passionate about creating user-friendly web applications and have a knack for handling big data, we want to hear from you.
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big data jobs in Plano, Fernley, Nevada
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