Looking for a Data Engineer who is ready to work onsite at Beaverton, Oregon
Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environment. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.
Typically requires a Bachelors Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.
Comments for Suppliers: Must be onsite at Nike WHQ in Beaverton for Hybrid schedule, 4:1.
Data engineers build and maintain systems that collect, manage, and transform data into usable information. They work with large amounts of data from various sources, and ensure that data is accessible and flows smoothly to its destination.
Must have 4-6 years of experience with:
Databricks
AWS
Apache Spark
Python
PySpark
Previous Nike experience a plus. Any ETWs let go at end of 05/31 can be considered since 90 day break would be fulfilled.
Work Timing
(GMT -0700) Pacific Time - Los Angeles (PST)
Beaverton, OR | 1 Bowerman Drive Beaverton,
Hours per week
40
Duration of Contract
268 Days
Application Process
Please visit Jobs at Mindverse Consulting Services Private Limited and locate the applicable job title. Read the JD in details and Click "I'm Interested" and fill out accordingly.
Attach your CV and any other document you deem fit along with the "Screening Questions" which is mandatory. Please be specific and detailed. Note these questions are from the custom to evaluate your candidature.
Any vague or inconclusive answer will not be considered.
Incase of any query, feel free to reach out to career@mindverseconsulting.com
...RESPONSIBILITIES: Perform most cellar operations; including equipment sanitation, wine movements, barrel work, topping. Complete winery work orders promptly and records information accurately. Bottling line work. Collect wine samples for laboratory analysis....
...Summary The Licensed Practical Nurse (LPN) provides professional nursing care for... ...in establishing and maintaining effective working relationships with resident, health care providers... ...time off package to maintain a healthy home-work balance. For more information about...
BeMobile Verizon is a growing company driven by innovation, teamwork, and a deep investment in employee development. Were currently seeking a talented Inventory Analyst to join our team in Grand Forks, ND. If you are detail-oriented, spreadsheet-loving, and thrive on analyzing...
...the foundation for growth, we are searching for extraordinary colleagues to join our team. Role & Responsibilities As a Curriculum Design Lead at Bold, you will drive a culture of achievement that actualizes Bolds vision for a world-class K-12 public educationpreparing...
...product teams to enhance decision-making processes. Collaborate closely with trust product and engineering teams to implement strategies and products to better mitigate emerging safety risks. Lead and support intricate investigations involving large datasets and...