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Experience with GCP tools such as BigQuery, Cloud SQL, Python, Cloud Composer/Airflow, Cloud Storage, and Dataflow/Data Fusion. A key responsibility is migrating historical data from Teradata to the new GCP system and developing data pipelines to streamline data loading into BigQuery.
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Must have expertise in Azure Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs.
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MS or PhD in data science or related field. Lead the development of robust, scalable data science solution(s) leveraging in-development and future data products such as FDP.
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Experience understanding, using, and employing syndicated data, customer card/POS data, and panel data to guide internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC) Working knowledge of retail merchandising and in store execution tactics.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Strong expertise in SAP PP configuration and implementation, including MRP, production orders, and master data management. Master Data Management: Oversee the setup and maintenance of master data related to production planning, including BOMs (Bills of Materials), routings, and work centers.
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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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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integratedsecurity, networking/data cabling, and/or commercial audio-visual.
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Candidates must hold a Ph. D. in biomedical engineering, neuroscience, computer science, physics, or a related field. The research scientist will develop advanced magnetic resonance spectroscopy (MRS) methods and/or apply them to study human brain metabolism in diseases and disorders across the lifespan.
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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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This role requires expertise in Microsoft Dynamics 365, Azure data storage, and Power BI for data visualization. Certifications in Microsoft Dynamics 365, Azure Data Services, or Power BI (a plus.
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Data Engineer - REMOTE WORK - 58673. Data Pipeline Development: Design, build, and maintain scalable ETL processes using Snowflake and Talend ETL. Snowflake Expertise: Leverage Snowflake's capabilities to optimize data storage, retrieval, and performance, including designing schemas, managing data warehousing, and ensuring data security.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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data science jobs Title: service manager in Cockrell Hill, TX
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