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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Experience in data science, statistical analysis and modelling data using leading Artificial Intelligence and big data tools (e.g. TensorFlow, R, Python, Azure SQL Server & ML Studio, Databricks, Python Power BI, etc.
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Java ci/cd jenkins gitlab sonar docker kubernetes python rest api MQ rpc sql flex murex. Knowledge of the scrum agile framework Experience with JIRA / Confluence Excellent communication skills Experience building scalable computational distributed services Experience with multiplatform enterprise service development and challenges of data serialization Experience with developing service wrappers for Python or C.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Experience with at least one of the programming languages such as: JavaScript, Java, Python, or other.
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PC - LabVIEW, Python, VBA, VB, C (C, C. Industrial Robotics - Fanuc, Epson, Denso, ABB. HMI - Rockwell, Siemens, Maple Systems, Wonderware, Inductive Automation Ignition. Identify and integrate off-the-shelf components including controllers, pneumatics, fluidics, robots, vision systems, motion systems, sensors, part handling systems, safety systems, and conveyors.
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Frameworks: Spark, PySpark, Python, Apache Airflow and Cassandra, Sprint Boot Micro Services, Apache Camel, Angular 6 UI Framework. Build near real time data pipeline with Apache Spark, Pyspark & Python to extract data from NoSQL DBs and Load it into Cassandra Data Enterprise Graph.
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Experience with quantitative image processing (OpenCV in Python and/or Image Processing Toolbox in MATLAB) is highly valued, but not required. Leverage statistical and data analysis tools like JMP, MATLAB, and/or Python (NumPy, Pandas, Matplotlib) to rigorously and efficiently analyze data and guide experimental design.
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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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. 9+ years of experience in application development including Python, SQL, Scala, or Java.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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Develop, test, debug, and implement software programs, applications and projects using cloud computing using Snowflake, DataBricks, and Python/Scala. Professional experience in Snowflake, DataBricks, Python/Scala.
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python job Company: Oscar Associates
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