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Proven experience as a Big Data Engineer with a focus on large-scale data processing. We're looking for a self-motivated, highly driven Big Data Engineer to bolster our Data Platform teams.
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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake. Experience with Big Data technologies such as HBase, Hive, Spark, Kafka, Graph DB and Cassandra.
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We are looking for an experienced and innovative Senior Data Engineer to extend the data warehouse and build streaming and batch data products that will revolutionize cyber security.
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The BI Analyst assists all levels of network leadership in making accurate, fact-based decisions by utilizing "big data" management concepts and analytics skills to turn data from across network into timely, accurate, and actionable information.
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The Role: Principal Data Engineer. 10+ years experience in data engineering with data warehouse technologies. As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact.
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Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks. 7+ years of proven experience as a Data Engineer or in a similar role. Knowledge of data warehousing concepts and experience with tools like Redshift, BigQuery, or Snowflake.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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We are looking for an experienced Senior Big Data Engineer (official title is Senior Big Data Engineer I) to support operations, solve complex issues, and drive growth.
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Our first data engineer will help scale and empower our small, but mighty data team and help architect a robust data platform primed for growth. Our team is seeking an experienced Senior Data Engineer who is passionate about building a more equitable social safety net with technology.
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2024 is a year of incredible change at CodePath and we're looking for the right data engineer to lead the charge on our small, skilled, and growing team in the next phase of our exponential growth and impact as we transform computer science education.
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Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control. Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.
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2-4 years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc. Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
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This role requires a deep understanding of both the technical and strategic aspects of big data solutions, including data modeling, data warehousing, and data integration.
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3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data. Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow.
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big data jobs Title: engineer Company: Leidos in Allentown, PA
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