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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios, and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.
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Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies. Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines.
$35 - $45 an hourFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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5 yrs Experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes. This is 100 % onsite role Candidate must have Big Data, and Databricks experience.
$100 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP/AWS Big data services, Databricks, and other tools & technologies.
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Nous participons à la révolution digitale grâce à notre expertise en automatisation des processus, Big Data, IA, Cloud. Diplômé(e) d'une Ecole d'ingénieur ou formation équivalente, vous avez déjà participé à un projet Data (Big Data, BI) et vous avez une expérience de minimum 2 ans.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
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Required 5+ years’ experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes. NFF,Inc. seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of our Data Modernization Effort.
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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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The successful candidate will teach introductory and upper-level courses in Data Science such as Data Curation, Data Modeling, Data Management, Data Mining, Big Data, Data Analysis, Machine Learning, Data Visualization, Computational Thinking for Problem Solving, Information and Data Security and Privacy, Information and Data Quality, Information Retrieval, and Data Science courses in the candidate's area of expertise.
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Implementation experience of two or more of Modern data platforms (AWS/Azure Synapse/Redshift/Snowflake, Databricks, Redshift, Big Query,) required. Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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