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Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture) Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Experience with cloud-based data platforms (AWS, Azure, Google Cloud) and analytics platforms (Snowflake, Redshift, BigQuery). Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python.
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Continuously update your knowledge of Analytics and Data Engineering trends, particularly in AWS, Redshift, Snowflake, Python, SQL, and dbt, to enhance our technology stack. You will utilize your deep expertise in Python, SQL, ELT processes, AWS, Redshift, and Snowflake to create and optimize data solutions that adhere to best practices in software engineering.
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Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology. · Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
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Build robust data integration services using Java Spring Boot API and Azure cloud services and manage Collibra platform deployments and upgrades on cloud VMs. Experience in developing data integration services using Java Spring Boot API and deploying solutions on Azure cloud services.
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Supervise the Development/Database Manager who is responsible for managing the League’s fundraising database (Raiser's Edge), data entry, and gift processing. Supervise the Development/Database Manager who is responsible for managing the League’s fundraising database (Raiser's Edge), data entry, and gift processing.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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data entry jobs Title: administrative assistant Company: Paul Davis Canada in New York, Wrangell, Alaska
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