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Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes. The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way.
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Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCPStrong in Python and/or another data centric language.
$77 - $118Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Should have a very good hands-on experience in Cloud DB platforms (Snowflake is preferable), Building data pipelines & SQL, Python for Data Engineering. Must be able to handle Data engineering operations / enhancement project with a technical consultant bend.
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Requirements 4+ years of software engineering experience Strong Python skills Strong data operations mindset and opinions on next-generation warehouse tools Strong written and verbal communication skills Experience with building production grade applications using Python Experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake.
$164,000 - $234,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services.
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Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Proficient in data analysis through JMP, Python or other data engineering software. Device Physics, Electronics or Electrical Engineering background highly preferred.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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The AM Analyst will work closely and cross-functionally with internal Finance (Accounting, FP&A, Treasury), Credit, Legal and Technology (Engineering, Data Science) teams, as well as the Quantitative Strategies, Strategic Direct Lending and Capital Markets Financing groups that sit within the CIO Function.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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POSITION REQUIREMENTS: Master’s degree in Computer Science, Computer Engineering, a closely related field and 2 years employment experience as a Software Developer/Engineer or related positions working with Java, Selenium, Python, SQL, Azure, DevOps, Jira, C#, Eclipse, ETL and Jenkins.
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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. Manager, Data Engineering.
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Will play a critical role for a large NIH UM1 center aimed at mapping the human and non-human primate brain atlases using a state-of-the-art technology pipeline consisting of tissue processing methods, molecular probe labeling, volumetric optical imaging, and novel computations 3D image data processing and analysis; undertake engineering design, development, and testing of image processing algorithms and quality control in support of new specialized research instruments.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Collaborate with leading experts to solve problems in fields such as: signal processing, image/video processing, machine learning, computer vision, statistical estimation, object tracking, optimization, control systems, ocean engineering/sonar, data analytics, and sensor hardware development.
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Knowledge of programming languages in data engineering such as Python or PySpark. Strong experience in building ETL data pipelines and analysis using Python, SQL, and PySpark.
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