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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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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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4+ years of data warehousing experience (Redshift or Snowflake) - 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
$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 technologies (AWS, Azure) a plus7. Experience in modern programming languages like JavaScript, Typescript, Node, Java, Python, etc. Experience with a RDBMS (SQL) or a NoSQL data store a plus4.
$150,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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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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. 3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics.
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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. 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
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