Data Engineer
Location: Alameda, CA
Duration: 7 Months
Description:
Must have data modeling experience. Data engineering would be even better.
Creating reports in Power BI (advanced) that includes working with a variety of data sources (like Oracle, AWS Redshift, AWS S3, Azure, SharePoint, Excel).
Worked with structured and unstructured data.
Inquisitive and seeks out learning opportunities (what we work on is changing fast so they need to adapt)
Works well cross functionally (able to speak to business users without using technical jargon) and independently with little oversight o List any preferred requirements
Microsoft Fabric, Microsoft Power Automate
AI (artificial intelligence) Client (machine learning) and gen AI (generative AI) experience or interest a plus
Python/SQL/Spark/DAX
ETL experience
Built solutions with scalability in mind. Creative.
Supply chain experience 3-5 years of experience
Education :
Bachelor’s (Associate’s acceptable with relevant job experience) in Data Analytics, Statistics, Computer Science, or Mathematics major preferred Certifications in data analytics, data engineering, and/or data architecture would be great and a must have with an Associates.
Skills:
Data transformation, data modeling, data analysis, demonstrated knowledge with AWS, SQL, Python, MS Excel, Power BI, Fabric, Power Automate
Education:
Four-year college degree (preferred Data Analytics, Statistics, Computer Science, or Mathematics major) or equivalent work experience involving Data Modeling Initiatives and Database Development.
Will also consider an Associate’s with 4+ years of Data Analytics exp.
3-5 years of experience in data modeling, data warehousing, data engineering, and/or data analytics
3+ years of demonstrated experience working with various business units defining and understanding business problems and solutions.
Experience with Supply Chain a plus
Strong understanding of data analytics, structured and unstructured data analysis, predictive modeling techniques, and data visualization as well as a good command of emerging methodologies like artificial intelligence, machine learning, and gen AI
Knows data querying languages (e.g. SQL), scripting languages (e.g. Python), reporting tools such as PowerBI, and advanced Microsoft Excel skills
Experience engaging cross-functional teams to build a strong data infrastructure
A recognized thought leader and innovator in the development of new tools, methodologies, and problem-solving approaches
Broad understanding of the latest data science, analytics, and technology trends/tools and their impact on business strategies and operations
Curiosity-driven, with mindset geared towards continuous learning. Must be comfortable with ambiguity with a proven track record of being a self-starter.
Responsibilities:
Unify disparate data sources (different types and systems) into a single source of truth that supports reporting across the teams.
Develop and execute data initiatives on our Digital Transformation roadmap, including development of Power BI reports and dashboards, to enhance data accessibility and productivity for the organization.
Develop solutions for optimal extraction, transformation, and loading of data from various data sources and types.
Benchmark with cross functional teams to understand how technology is utilized to support the business. Collaborate with other teams to understand available and upcoming technology.
Develop technology to support process improvements, data standardization, and automation.
Provide training to department as needed on new tools.
Identify process issues, recommend improvements, and implement process improvements.
Act as a data steward and support the advancement of citizen developers within the department.
Maintain existing Microsoft Fabric and Power Platform applications, including supporting current reporting, metrics, and automation across the team.
Create and maintain the necessary documentation and visuals to ensure clarity in data lineage and firm understanding of developed data solutions.
Other responsibilities:
Ability to manage multiple tasks under tight deadlines
Very strong customer focus and relationship skills
Operations/Supply Chain knowledge a plus
Ability to work alone or with little supervision
Willingness to find solutions to problems related to Data analytics
Proficient with Microsoft Suite
Awareness of Project Management methodologies and processes
Manager stated:
This is more of a Data Engineering position than a Data Analyst position
Must have:
Min. 3+ years of Current and relevant experience in data modeling experience, Data engineering would be even better, Data Architecture (This person will be primarily focused on these tasks upon joining our team).
This Is NOT a “Reporting” or “Visualization” position so if exp. is with creating dashboards, reports, then this is not the position for them.
This candidate must have current and relevant exp. in data modeling, data engineering and data architecture.
Python/SQL/Spark/DAX exp.
Creating reports in Power BI (advanced) that includes working with a variety of data sources (like Oracle, AWS Redshift, AWS S3, Azure, SharePoint, Excel).
Worked with structured and unstructured data.
Inquisitive and seeks out learning opportunities (what we work on is changing fast so they need to learn and adapt quickly)
Works well cross functionally (able to speak to business users without using technical jargon) and independently with little oversight
Strongly Preferred
Top 3 Skills was asked more than once:
Data modeling exp.
Data engineering exp.
Data architecture exp.
ALL must be recent and relevant exp.
User requirement gathering exp.
Daily Tasks:
Create a unified data source for Supply Chain, with possible extension into other Operation’s teams – bulk of the focus will be here
Support current reports that are in Development/Test/Production
Create new reporting as needed
Primarily work with Global Supply Chain team
