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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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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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Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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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: Spark, Elasticsearch, Hadoop, Neo4j Geo-related mapping experience Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$250Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. 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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Knowledge in Kafka, Pig, MapReduce, HBase, Sqoop, Solr is a plus Willingness to do Certification in Databricks Certified Developer: Apache Spark 3.
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Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. 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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Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS) Background with or understanding and/or hands-on experience with back-end cloud data (GCP, Big Query, Snowflake, etc.
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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. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today
big data jobs Company: Drift Services in Gretna, Louisiana
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