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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Examples include but are not limited to text analysis, big data platforms, machine learning, web scraping, or cloud computing technology. Analyze data in R and/or Python programming languages using techniques and platforms such as natural language processing, big data, machine learning, and cloud computing technology.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Key Responsibilities: Spearhead the analysis and strategy for migrating data warehouse systems to Oracle Cloud, establishing a robust Master Data Management (MDM) framework for enhanced data exchange and governance.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Desired Certifications and Experience AWS cloud certifications Experience with microservices architecture Experience with container deployment platforms such as Kubernetes, Openshift, or GCE Experience and domain knowledge related to data processing Experience with big data applications.
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Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Acuity is looking for a Data Engineer to join our Engineering Team. In this position, you will apply your skills in data science, data analytics, and data warehousing to pioneer cloud and data services with our clients.
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Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs. Implementation of database/data lake granular access security, and access integration with Okta/Cognito.
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Keywords: Washington DC Jobs, Salesforce Marketing Cloud Administrator, Salesforce Marketing Cloud, Data Extensions, Data Management Principles, Omnichannel Marketing Concepts, HTML, CSS, Email Specialist, Journey Builder Specialist, A/B Testing, Einstein, Washington DC Recruiters, Information Technology Jobs, IT Jobs, Washington DC RecruitingLooking to hire for similar positions in Washington DC or in other cities.
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The successful candidate will interface directly with counsel and engineers at both established and emerging tech clients, gaining exposure to subject matter areas such as artificial intelligence, cloud computing, rockets and space-oriented payload delivery, automation, computer networking, encryption, graphics, and animation, and computer gaming/e-sports.
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data cloud computing jobs Company: Harnham in Washington, DC
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