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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. We are seeking a highly skilled and motivated Senior Data Engineer (Infrastructure) to join our dynamic team at SiriusXM. As a Data Infrastructure Engineer, you will play a key role in designing, building, and maintaining robust, scalable, and secure data infrastructure used by our data professionals in order to fuel innovation, facilitate informed decision-making, and drive sustainable growth.
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The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations.
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Develop and maintain expertise on the latest technologies relating to cloud, IoT, big data, and artificial intelligence to provide thought leadership to our prospects, customers, and within the company.
$207,300 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Maintain data integrity and access control by using AWS security tools and services such as HSM, IAM, etc.
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Demonstrated ability to work with cloud computing and data storage tools, preferably AWS S3, Redshift, GCP, Big Query, Snowflake. The ideal candidate will have a thorough understanding of big data and data warehousing, with prior knowledge and advanced use of SQL to develop and automate reporting.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. 10+ (for senior) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. You are: An experienced senior consulting executive who has built and delivered transformative data & AI projects and solutions in the Financial Services and/or Insurance industry.
$336,900 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience leading Big Data engineering teams working in environments such as Hadoop and Spark. The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Thorough knowledge of Big Data tools and Data Mining/Warehousing Programs (e.g. Google BigQuery). Geotab is seeking a Senior Data Scientist, Privacy Engineering to work very closely with Geotab’s Data Privacy Advocate, Data Science team, Data Product teams, and Data Operations team.
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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
$147,767 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark, Python, or R). 4 years of experience in SQL and Data Visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies.
Full-timeExpandApply NowActive JobUpdated 17 days ago
big data jobs Title: senior in Atlanta, Fernley, Nevada
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