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Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Able to develop EL pipelines in and out of data warehouse using combination of Databricks, Python and Snow SQL.
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Hands on experience in Terraform, Python, and OS shell scripts including automation tools. Hands on Terraform. Hands on experience in one or more languages such as Java, JavaScript.
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This area focuses in on actually implementing what was found in the discovery phase, being hands on with actually writing doe, inner sourcing and working with the external teams to write the code, interrogate database, writing a config file in order to execute in different markets etc.
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Hands on experience using Django, Python, React. Hands on experience with AWS Cloud Platform, Postgres, CI/CD pipeline. Senior Django/Python Software Backend Engineer.
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5+ years professional hands-on software engineering experience using tools and languages in our tech stack - node, React, Vue, Java, Javascript, Python, C. The ideal candidate is a recognized professional with hands-on technical expertise with an excellent understanding of technical engineering concepts.
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Professional hands-on software engineering experience using tools and languages in our tech stack - React, Vue, Javascript, Java, Python, C. Our platforms are primarily built in a Linux environment with React/Vue, Javascript, Java, Python, C.
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Position location is hybrid, with on-site presence required at our Broomfield, CO headquarters. Our deployment environments include AWS Commercial, AWS GovCloud, and on-premises with US Government customers.
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Expertise in cloud technologies and services, including AWS, Azure, or Google Cloud Platform, with hands-on experience in building and managing data pipelines and infrastructure. Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop.
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Hands-on data engineering experience building solutions to extract, load, and transform raw data in the form of several hundred, small data files and web scrapings with a variety of formats using a combination of Python scripting and AWS cloud services such as S3, Glue, Crawlers, Lambda, Step Functions, Redshift, DynamoDB, etc.
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Including, the reengineering of all ETL pipelines from existing SQL Server and Neo4j database stored procedures and functions into serverless data pipelines using Python and AWS services. Proficiency in one or more of the scripting languages - python, ruby, java or similar and use of Pandas or equivalent data manipulation library.
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Hands-on experience with data integration tools (e.g. Apache Spark, Apache Kafka) Hands-on experience with cloud-based data services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow.
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Hands-on experience with at least one EDC system (e.g.: Medidata Rave, Inform, Veeva etc.,) Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint.
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7+ years of hands-on experience in building, integrating, or driving enterprise-level data architecture with Oracle data products, including Oracle OCI, Oracle EBS, and Oracle Fusion. Data pipeline: dbt, Azure Data Factory, Talend, and python.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Provide direction on adoption of Cloud technologies (Redshift, Postgres, Snowflake,) and industry best practices in the field of data lakes and data warehouse architecture and modelling.
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Experience with relevant code repository and project tools such as GitHub, JIRA and ConfluenceWorking experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace.
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