Southwest Research Institute Warner Robins, Georgia Who We Are: Ongoing threats to national security require timely intelligence data, including signal intelligence obtained through electronic surveillance. Since the 1940s, SwRI has supported U.S. and friendly foreign governments, as well as commercial clients. This position has the option of being a fully remote in the following states: AL, AZ, AR, Dis. of Columbia, FL, GA, MA, MD, MI, MN, NH, NJ, |
Tech Mahindra Limited Santa Clara, California Job Title : Sr Lead Data Science Location: Santa Clara , CA (Onsite) Experience: 8 years Duration : 6 months Job Requirements 1. A minimum of 7 years of experience in data science, with a proven track record of delivering impactful data-driven solutions. 2. In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. 3. Strong programming skills in l |
Tata Consultancy Services Seattle, Washington Role: Azure Data Engineer Job Type: Full Time Location: Seattle, WA (Onsite) Job Description: Must have skills: Proficient in Python and PySpark. Strong knowledge of SQL. Experience in building and optimizing complex data pipelines in Azure. Hand on experience on Azure Databricks. Strong working knowledge on Azure components and services such as Storage Account, Azure Data Factory, Active Director |
NetworkcprInc GETZVILLE, New York, 14068 As a Network Operations Engineer, you will: This will be seperate shifts Provide 1st/2nd line technical support & incident management, monitoring for circuits and hardware. Report and track carrier issues, hardware RMA’s etc. Manage operational network maintenance activities and implement changes Provide monitoring & fault management and remediation of alerts. Tuning & optimization of monitoring s |
Tata Consultancy Services Atlanta, Georgia Job Location: Atlanta GA/Edison NJ / Dallas TX / Duluth GA Technical Skills: At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions. At least 5 years of experience in building data models and data pipelines to process different types of large datasets. Proven expertise in relational and dimensional data modeling. Understand PII standards, processes, and |