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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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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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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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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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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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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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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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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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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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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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Big-D Construction, a National General Contractor of award-winning projects built by exceptional people, has a Preconstruction Manager on our Mission Critical team located in Salt Lake City, UT.
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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.
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The Solution Architect (Big Data) role will be accountable to deliver proof-of-concept projects, topical workshops, and lead implementation projects. ➢ Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools.
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Hands-on experience with Databricks for big data processing and analytics. Minimum of 10 years of experience in data engineering roles and 2+ years leading / maintaining data DevOps for Data Pipeline and ETL solutions with a focus on SQL, Databricks, Postgres, and Redshift.
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Any of the following Certifications will be accepted: Cloudera Certified Professional (CCP) Data Engineer, Elastic Certified Engineer, Elastic Certified Observability Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified Developer.
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