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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 is a plus. Knowledge of modern software design patterns, including microservice design or edge computing.
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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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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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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Experience with cloud AI ML capabilities like AWS, Databricks. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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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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3 + years of hands-on experience of working on modern columnar data platforms like Snowflake, AWS Redshift, Azure Synapse. Develop scripts to manage and migrate infrastructure as code (IaC) using Python/Terraform or AWS CloudFormationImplement data governance policies and practices to ensure the accuracy, consistency, and security of organizational data.
$118,800 - $205,920Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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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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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.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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. Exp with Python for legacy and modern ingestion is essential and usage of libraries for data engineering like pandas, SQLalchemy, snowpark , etc.
$123,000 - $153,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with public cloud (Azure, AWS, GCP) security and modern data platforms (e.g., Snowflake, Data bricks, Starburst) If your response is yes, consider joining Deloitte & Touche LLP's growing Cyber Risk Data Privacy & Protection practice.
$124,616 - $240,488 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Work you'll do The Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Experience with modern data & integration tools or technologies such as Snowflake, ADL (Azure Data Lake) /ADF (Azure Data Factory), MuleSoft technology is a plus.
Full-timeRemoteExpandApply NowActive JobUpdated 3 months ago
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