Highlights
Position: Data Engineer II Location: Dallas, TX Duration: 5 Months Job Type: Temporary Assignment Work Type: Onsite Job Description: The AWS Field Experience (AFX), Revenue Lifecycle Automation and Intelligence (RAIn) team is seeking a passionate, innovative, and results oriented Data Engineer to design and build scalable solutions that empower our field teams. Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients worldwide.
Numbers & Facts
| Location | Dallas, TX |
| Industry | Computer/IT Services |
| Salary | $62.42 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients worldwide. Our client is a global technology leader that is transforming the way people shop, consume content, and interact with digital services. With a strong presence across ecommerce, cloud computing, digital streaming, and artificial intelligence, the company is known for its customercentric approach, innovationdriven culture, and largescale global impact. It continues to invest in building products and services that improve everyday life while supporting businesses, communities, and economies worldwide.
Position: Data Engineer II
Location: Dallas, TX
Duration: 5 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
- The AWS Field Experience (AFX) , Revenue Lifecycle Automation and Intelligence (RAIn) team is seeking a passionate, innovative, and results oriented Data Engineer to design and build scalable solutions that empower our field teams.
- You'll bring industry best practices and standards to solve complex business problems, define meaningful metrics, and create systems that operate reliably at scale.
Responsibilities:
- As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
- You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
- You will be responsible for designing and implementing a platform using inhouse reporting tools, modeling metadata, building reports and dashboards in Quick Suite.
- You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Required Skills & Experience:
- 3+ years of data engineering experience
- 3 + years of Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of developing and operating largescale data structures for business intelligence analytics using data modeling experience
Preferred qualifications:
- Deep SQL fluency
- Deep Python (or equivalent) fluency for orchestration, data quality automation, and pipeline tooling beyond SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with nonrelational databases / data stores (object storage, document or keyvalue stores, graph databases, columnfamily databases)
Top 3 Must Have Hard Skills:
- High SQL fluence and Data Analysis
- High python knowledge
- Strong ETL experience
Nice to haves:
- 1. AWS Stack Experience
- 2. Experience with data modeling, warehousing
- 3. Developing and operating largescale data structures for business intelligence analytics using data modeling experience
Leadership Principles:
- Deliver results
- Ownership
Years of Experience
- 3--5 Years
TekWissen Group is an equal opportunity employer supporting workforce diversity.
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Similar Job Searches
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