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Experience with modern analytic tools, frameworks, systems, and infrastructures (cloud computing, AWS, scalable HPC, virtual machines, dockers, Hadoop, Spark). The Human Resources Research Organization (HumRRO), a non-profit national leader in workforce assessment, human capital consulting, and educational research, is seeking a full-time Data Scientist to join our growing organization.
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ML skills in modern cloud infrastructure such as Azure, AWS, or GCP is strongly desired. Ankura’s Data & Technology Practice includes client services in the areas of Analytics & Data Strategy, eDiscovery & Cyber Security.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of AWS services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Big data and cloud computing, including AWS, Azure, GCP, other related, as well as Hadoop, Spark, MapReduce, etc. Database architect with relational databases (e.g. Postgres, MySQL, MSSQL, Oracle) and other modern types of databases: graph, key-value, and document data stores (e.g. Neo4j, HDFS, MongoDB.
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5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. Experience with cloud AI ML capabilities like AWS, Databricks. Knowledge of modern software design patterns, including microservice design or edge computing.
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Collaborate with DevOps and infrastructure teams to deploy and manage data platforms and services in cloud environments (AWS & Snowflake). You will be responsible for building (leading) end-to-end data pipelines using tools like dbt, airflow, Snowflake, and other modern data stack components.
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Mature AWS cloud solutions with a specific focus on data services such as S3, RDS, and EMR. B.S. in Computer Science (or equivalent experience) and at least 3 years professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms.
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Preference for candidate experienced with cloud AI Client capabilities (e.g., AWS, Databricks) Knowledge of modern software design patterns including microservice design and edge computing.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - Azure (ADF, Synapse, Power BI), AWS (Glue, Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Experience with cloud AI ML capabilities like AWS, Databricks is a plus. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
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Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP; You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Familiarity with at least one public cloud platform (AWS, Azure, or Google Cloud) and understanding how Snowflake integrates with these platforms. More than 5 years of hands-on exp in cloud databases like Snowflake with a deep understanding of Snowflake's architecture and how to use its features to manage and analyze data efficiently (features include data lakehouse, data sharing, warehouses, snowsql, snowpipe, snowpark, data masking, etc.
$123,000 - $153,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago
modern aws cloud jobs Title: data in Alexandria, VA
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