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Experience in Big Data technologies (e.g. Hadoop, Spark, Databricks, Snowflake) Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
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Work with partners in Research and Tech and Onyx to ensure D&PS/Research Tech input into the design of an effective data reuse strategy for Research that maximises the value of GSK’s data to drive research productivity and unlock upper quartile ambitions, working across D&PS and Research to drive uptake.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Conduct advanced statistical analyses and predictive modeling to identify patterns, trends, and correlations in HR data related to employee engagement, retention, performance, diversity, and other key areas.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Familiarity with Big Data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. Proficiency in cloud-based data solutions, specifically with Snowflake and AWS services (e.g., S3, Redshift, Glue, Athena, etc.
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Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more.
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Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs.
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Data Analysis: Dive into project survey data to assess existing site conditions, considering various factors, including legal descriptions, ALTA surveys, easement documents, and condo documents.
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We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. Your Role: Assisting with all US domestic and some international income tax matters, including data gathering and ensuring company compliance with tax reporting and filing requirements.
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Experience using data visualization platforms (i.e. Looker, Tableau, Qlik) Work closely with MTA/MMM partner and data scientists to forecast, track performance and identify incremental spend opportunities.
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Utilize cloud data services such as BigQuery, Snowflake, Redshift, or similar to store and analyze large datasets. Qualifications:Experience: Experience as a Data Engineer or in a similar role with a strong focus on Python, SQL, and cloud technologies.
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3+ years' experience with tools in Azure consisting of DevOps Tools like Azure DevOps, Salesforce (Optional), Integration patterns with messaging framework like Kafka, ETL tools like Azure Data Factory , SQL server SSIS packages and analytics platforms like Snowflake or Databricks.
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Deep expertise in data science, quantitative research, and statistical modeling, with proficiency in tools such as Python, R, SQL, and advanced data visualization platforms. Extensive knowledge of investment management, including portfolio construction, asset allocation, risk management, and the application of data research to investment strategies.
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The IAS Team seeks a Digital Assistant Product Engineer who will be responsible for leading a portfolio focused on developing innovative and interactive Digital Assistant products leveraging data, and advanced machine/deep learning, and recent advances in NLP and Generative AI to create breakthrough solutions that change patients’ lives.
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big data jobs Company: Robert Half in Norristown, PA
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