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5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. Knowledge of modern software design patterns, including microservice design or edge computing. 3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics.
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Strong interest in data and modern data infrastructure technologies such as Big Query, DBT, Airbyte, Meltano, Airflow/Dagster/Prefect, and others. We're looking for a senior data engineer to join our Data Science team and help build a modern data infrastructure that will be the pillar of the cloud-native banking future we are building.
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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 data warehousing experience (Redshift or Snowflake.
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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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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. 3+ years of data warehousing experience (MS Synapse or Redshift or Snowflake.
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Developing Modern Data Warehouse solutions using Azure Stack (Azure Databricks) Job Title: Sr. Data Engineer with DataBricks Experience. Participate in development of cloud data warehouses, data as a service, business intelligence solutions.
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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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5+ years of experience developing data pipelines using modern Big Data ETL technologies like NiFi or StreamSets. 5+ years of experience with a modern programming language such as Python or Java.
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Advanced knowledge and experience of modern programming languages such as object-oriented FORTRAN, python, and/or C. Modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation.
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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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You will be responsible for building (leading) end-to-end data pipelines using tools like dbt, airflow, Snowflake, and other modern data stack components. Advanced proficiency using SQL and dbt developing dimensional models supporting end-to-end EDW and modern data architecture including design, review, build, testing, and deployment of models.
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Knowledge of modern software design patterns including microservice design and edge computing. 3+ years of experience with artificial intelligence, data science, Client engineering, data research, software engineering, or data analytics.
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Proficiency in modern BI tools such as Looker, Metabase, etc. Partner with Field Engineering, Data Science, Product Managers, Data Engineering and Software Engineering teams to solve problems at scale.
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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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Oversee the migration of data from legacy systems to new solutions that utilize a modern data-centric architecture that aligns with US Federal, DoD, Army, and USACE IT strategies and policies.
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modern job Title: data in Chevy Chase, MD
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