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Client Corporation is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Develop and maintain data pipelines and work closely with data engineering team to migrate to production Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift based on business need.
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As a big data engineer at Booz Allen, you ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research to national intelligence.
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Big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy. 8+ years of experience in data engineering or full-stack quantitative analytics/data science roles.
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good.
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Job Segment: Cloud, Embedded, Computer Science, Data Center, Engineer, Technology, Engineering. Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Job Title: Analysts, Senior Data Engineering (Machine Learning Engineer) We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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Experience building or maintaining a Data Platform and data pipelines that supports multiple engineering teams and processes big data. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Background in Big Data Engineering and Advanced Data Analytics. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models.
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Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. Builds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker.
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big data engineering jobs Title: big data engineer Company: Synopsys
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