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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Required 5 years - Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik. Preferred 2 years - Hold one or more Cloud certifications such as AWS Certified Solutions Architect, or Microsoft Azure Architect Design and/or equivalent work experience.
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Experience with some of the following technologies and concepts is not required but would be a plus: Microsoft Operating systems, PostgreSQL (AWS Aurora), MongoDB (Atlas), Linux Operating systems, Active Directory, SSIS, OLTP data environments, Data Archiving, Snowflake, Wait Statistics, Solarwinds DPA/DPM, Policy Based Management, PowerShell, MySQL, DB2, Agile Methodologies, Amazon cloud database technologies, VMWare, Cloud Automation.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Practical understanding and experience building/designing/operating data protection technologies to include:Data Loss Prevention, Cloud Access Security Broker, Content Filtering, Data Access Governance, Encryption/Tokenization/Obfuscation/Masking, Rights Management, Database Security, Email Security, Endpoint Security, User Entity Behavior Analytics (UEBA), Logging & Monitoring.
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The Marketing Decisions Science team is working to rebuild and modernize our data architecture with a cloud first approach that uses code reusability through a standardized metadata driven approach, and we are looking for an experienced Senior Cloud Platform Data Engineer to own and lead the design of our modern data warehouse architecture and dbt platform for our Marketing Organization.
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The Legal & Compliance Organization is looking for a mid-level Data Analyst to join a multi-disciplinary group that works collaboratively with the Global Trade, Ethics & Compliance, Litigation, Privacy, Business Unit, and Corporate Services teams to conduct a wide range of business intelligence, visualization, and investigation support functions.
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Work from Home, Data Entry, Part Time, Gigs for all, Administrative Assistant, Customer Service, Entry Level, Amazon Workers, Retail Workers, HealthCare and Hospital Personnel. Data Entry Work From Home - Remote Work at Home Customer Service.
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Serves as a primary contributor for the Enterprise Data Catalog, Master Data Management Metadata repositories, and manages the health and well-being of the repository using the tool Informatica Axon EDGC Business Process Management workflows.
$85,000 - $106,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib. Job Title: AWS Data Bricks Spark/Scala Engineer. Must have work experience on Hadoop as data warehouse/Data Lake implementations.
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
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Graduation from an accredited four-year college or university with major coursework in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field is preferred; experience and education may be substituted for one another.
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Knowledge and understanding of AWS data ecosystem like RDS, Data Migration Service, S3, Athena, Kinesis and others. Cloud Data Warehouse experience - Redshift/Snowflake. This is an ideal position if you are an experienced data engineer and you want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.
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data job in Austin, TX
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