Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Avnet Sr. Data Engineer (Business Analyst IV) in Phoenix, Arizona

This job was posted by https://www.azjobconnection.gov : For more information, please see: https://www.azjobconnection.gov/jobs/6438690

Avnet, Inc. seeks a Sr. Data Engineer (Business Analyst IV) for its Phoenix, AZ facility.

DUTIES: Partners with stakeholders to create data engineering and analytic solutions. Designs and prepares reports, dashboards, and summaries for statistical analysis and planning purposes. Analyzes business issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns. Deliver high quality data and analytics solutions. Work closely with source data teams and business SMEs to design, implement and leverage analytics solutions that provide insights to enable better data-based decision making. Implement data engineering solutions using cloud based (Azure) products and services: (Azure Data Lake Storage, Azure SQL, Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Databricks, PowerBI, Spark SQL, Python, etc.) and traditional data warehouse tools. Collects, compiles and analyzes data from various databases and performs statistical analysis for internal customer groups. Communicates complex data in comprehensible ways. Evaluates information from multiple sources and clearly indicates quality of final analysis. Develops reports, dashboards and other tools to deliver internal company information enabling business users to make informed decisions. Gathers, aggregates models, and analyzes information from multiple external sources regarding company financial performance, customer insights, competitor profiling, competitive threats, potential product or technical expansion, industry trends and other such business intelligence aspects. Establishes standards and procedures for a variety of processes, conducting business analysis resulting in detailed creation and maintenance of business process mapping, requirements and training materials documentation. May participate in or lead project teams. Identifies, investigates and participates in opportunities to improve processes and procedures, to include various key performance metrics. Telecommuting permitted.

Requirements: Bachelors degree (or foreign equivalent) in Computer Science, Computer Engineering, MIS or related field and five (5) years experience as an Sr. Data Engineer or related occupation with data analytics. Masters degree (or foreign equivalent) in Computer Science, Computer Engineering, MIS or related field and three (3) years experience as an Sr. Data Engineer or related occupation with data analytics. Must have 3 years experience with the following: Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers; Implementing data engineering solutions using cloud based (Azure) products and services: (Azure Data Lake Storage, Azure SQL, Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Databricks, PowerBI, Spark SQL, and Python) and traditional data warehouse tools; Designing and preparing reports, dashboards, and summaries for statistical analysis and planning purposes; and Experience in ETL and database development. Qualified applicants send resume to: <hrnow@avnet.com>

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