Experienced in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional and new data integration technologies (such as ETL, ELT, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization) Experienced with implementing data quality frameworks.

Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.

Assist in or facilitate the training and integration of CAD/CAM and Sirona 3D for implant planning and CEREC Guide 2. Essential Functions Responsible for preparing, implementing and revising the CAD/CAM integration process for new and existing customers.

Driving consistency across the digital experience for UA and visual merchandising and presentation storytelling, omni-channel integration, and B2B. Data-Driven Decision making - highly agile.

Driving consistency across the digital experience for UA and visual merchandising and presentation storytelling, omni-channel integration, and B2B.Must be able to produce high-quality work consistently and on time.

Demonstrated knowledge of SAP MM configuration and module integration with SAP SD, WM, and FICO especially COPA. Proven, hands-on configuration experience in SAP MM including plants, storage locations, material master data, vendor master data, purchase orders, batch inventory management, and logistics invoice verification (MIRO.

Utilize Databricks, dbt, and other cloud-based tools for data analytics and transformation tasks. Understanding of the modern data stack and data engineering principles. 2+ years of experience in data engineering or analytics.

Three to five years of experience in operational risk management, data scientist/analyst, fraud prevention. Apply various risk techniques (risk taxonomy, trend analysis, root cause, data visualization) to identify trends and patterns in operational risk data.

Data Protection experience with Veeam, Rubrik or Cohesity Education and Experience: Bachelor's degree or equivalent experience and/or military experience+ years designing and implementing complex data center solutions.

Position Purpose: Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation. Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor’s degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.

Experience in working with petabyte scale data sets and developing ML frameworks in Databricks, Snowflake or similar large platforms. The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.

Enlist customers into our CRM program, with quality data capture making sure the % targets setby the Boutique Manager & Sales & Education Executive are met. Any other duties as specified by the Boutique Manager, Assistant Manager, Senior Stylist and thehead office team.

They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. Sonar Technician, Submarine (STS) STSs specialize in underwater acoustic technologies.

Must demonstrate strong proficiency in data protection, archiving, networking, storage and systems administration with the ability to perform basic project management; typically obtained by 2-5 years experience in systems/network administration, pre-sales or related field.

CI/CD Pipelines: Experience with continuous integration and continuous deployment pipelines using tools like Jenkins, Azure DevOps, or GitHub Actions. strong understanding of security best practices in cloud development, including identity and access management, data protection, and compliance standards.