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Job Location: New York, NY
Working to provide the backbone for data projects, Data Engineers design, develop, and maintain the data pipelines. Data Engineers work closely with data stakeholders including Data Analysts and Data Scientists to provide rich analytical data models to drive business results.
Build your Career at STV
At STV, we not only tackle world-class projects, we also develop employee skills, recognize achievements, and offer opportunities for advancement. So, if you’re looking for a rewarding position working for an award-winning industry leader, then STV is the place for you. We are a well-respected AEC firm with 40 offices throughout the US.
Grow at STV
Life is an ongoing learning experience, and we want you to continue to grow here at STV. We offer several programs and benefits, from professional development seminars, tuition reimbursement program, a career development program, online education initiatives, and much more to help you expand your knowledge and develop your skills, so you can take your career to the next level with STV.
Take Care of Your Personal & Financial Health
With a wide range of competitive benefit programs, we are committed to helping employees be personally and financially healthy and productive.
Responsibilities
- Gather and review data from a variety of data sources
- Experience setting up ETL and ELT processes
- Troubleshoot Azure tools systems and software
- Work closely with business line stakeholders to deliver meaningful data for projects
- Coordinate data needs between product owners and application development teams. Work closely with Data Scientists to better deliver data models for analysis and forecasting
- Aid and in the design and create dashboards and reports
- Ability to communicate data ideas with a variety of stakeholders including engineers, and data analysts
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, related technical field, or equivalent practical experience
- 2 -5 Years’ Experience in related field
- Experience with Could Providers such as AWS, Azure, and GCP
Required Skills
- Familiarity with SQL
- Analytics and statistical experience
- Familiarity with Relational Databases and Non-Relational
- Python Programming Experience
- Willingness to work with stakeholders and data users to provide intelligence that will drive business.
- Research focused, analytical thinker
- Excellent Verbal and Written communication skills
- Ability to present data solutions to a non-technical audience
Preferred Skills
- Experience with Data lake structures
- Experience with Hadoop Structures
- Solid Understanding of Data Warehousing principles
- AEC Industry Experience
- Understanding of the Agile development cycle
- Familiarity with Version control tools such as GIT
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