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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino). Has knowledge of data engineering best practices (data discovery, data documentation, infrastructure development/deployment, and information security.
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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Big Data Technologies: Experience with Elasticsearch, Logstash, Kibana, Kafka, ksql, NiFi, Apache Spark, ServiceNow. Elastic Engineer Certification: Certified Elastic Engineer with experience developing logstash and ingest pipelines.
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Hands-on experience with AWS big data analytics, Redshift, Kinesis, Lambda, Glue catalog, Athena, Airflow, Databricks, Python, Kafka, Spark and PySpark. Experience understanding of relational, structured/unstructured and semi-structured data with designing data lake, data governance, data lineage and data quality.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
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From sprawling public art, to a robust music scene, to nature so big and beautiful, Sanford has the small-town feel while still offering something for everyone. By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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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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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Proficiency in Databricks, Apache Spark, and related big data technologies.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Proficient in SQL and experienced with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse). Familiarity with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend.
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big data jobs Company: At T in Laramie, Wyoming
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