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Years of work experience as a Big Data Engineer. Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Strong Experience building big data pipelines for ETL focusing on time series data using: PySpark, Python (native), Azure Data factory, Databricks on Azure. Forte expérience dans la construction de pipelines big data pour l'ETL en se concentrant sur les données de séries temporelles en utilisant : PySpark, Python (natif), Azure Data factory, Databricks sur Azure.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plusPrior domain experience of Life Insurance, Annuity or Financial Services is a plusAWS Certifications are considered a strong plusExcellent verbal and written communication skills.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Experience with ML frameworks such as scikit-learn and Big Data feature engineering for ML. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Scala Programming Skills plus additional language experience (Python, C#, or other leading languages), Architecture and Development experience using Azure Functions, MicroServices, Azure ServiceBus, API Development, Terraform, DevOps, SQL, Big Data Experience an Asset (ADF, Data Bricks, Spark, Scala, Parquet), AWS Cloud experience is an Asset.
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Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Big Fish Restaurant Group now consists of Big Fish Grill Rehoboth, Big Fish Seafood Market, Big Fish Grill Ocean View, Big Fish Market/Rosenfeld's South Bethany, Big Fish Grill on the Riverfront, Summer House, Salt Air, Obie's By the Sea, Sazio, Stingray, Crab House, Striper Bites, Taco Grande, Trolley Square Oyster House, Washington Street Ale House, Mikimotos, Torbert Street Social, Rosenfeld's Wilmington, Riverfront Events, and Nick's Fish House.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland.
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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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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Plant care during vegetative and flowering phase: trimming, manipulating, and staking; big leafing and pruning; watering; plant monitoring; inventory data input. Curing: hanging and dry-racking flowers; monitoring curing process and climate control; labeling; weighing and inventory data input.
$19.25 an hourExpandApply NowActive JobUpdated 3 days ago
big data jobs Title: administrator Company: Local Staffing
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