Data Warehouse Engineer II Job in San Francisco | Yulys
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Job Title: Data Warehouse Engineer II

Company Name: Hatch IT
Salary: USD 110,000.00
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USD 160,000.00 Yearly
Job Industry: Warehousing
Job Type: Full time
WorkPlace Type: On-Site
Location: San Francisco, California, United States
Required Candidates: 1 Candidates
Job Description:

Hatch I.T. is partnering with an AI startup to find a Senior Data Engineer. See details below:


About the role

As a Data Engineer, you will build and maintain data pipelines, and help us scale our data systems and run client reports. You'll manage core database systems, evaluate A/B tests, establish industry benchmarks, and uncover trends from shoppers around the world. You'll need to bring new ideas and see the big picture, communicate with the team, and ensure projects are delivered on time. Your work will have a real impact on the industry and be seen by leaders at some of the top apparel brands and retailers in the world. You'll also develop and maintain metrics, reports, analyses, dashboards, and more, and translate data-related questions into persuasive analyses for business partners. You'll create compelling narratives and refine processes for data collection and analysis, among other responsibilities.


About You

You are a humble, passionate, and experienced data engineer that is excited to write code but also comfortable working with sales, accounts, and other engineers. You have a positive outlook and are interested in working in a highly collaborative work environment. If you have a natural curiosity for data and don't mind rolling up your sleeves and digging through messy data to find interesting insights, this might be your jam.


About the Company

The company is an AI-based platform that's transforming the apparel industry. Their platform helps retailers and brands reduce returns, improve sustainability, and optimize their supply chain. With machine learning and AI at their core, they're able to predict body measurements with incredible accuracy. This enables brands and retailers to gain a better understanding of their customers' buying habits, the fit and sizing of their products, and make optimizations in a completely new way. Their focus on data-driven insights is helping some of the world's most well-known brands and retailers leverage AI to make an impact across their entire organization.

How you will make an impact

  • You’ll directly impact client relations with full understanding of how we’re able to impact their business
  • You’ll work alongside our customer success team to help understand our clients’ needs and help the answer and explore their data
  • You’ll drive data analysis and help create analysis the entire apparel industry will adopt

Skills and Qualifications: (even if you do not 100% meet these skills, they still welcome you to apply)

  • 2+ years experience as a Data Engineer in a professional setting
  • Comfortable with SQL & Python
  • Able to identify trends and patterns in data
  • You can clearly communicate acceptance criteria and work well with a data team
  • You love understanding the nuances of data and are excited to take command of client analysis and data
  • Comfortable using a VPN, a database GUI and Jupyter
  • Experience working on an eCommerce and/or retail site a plus
  • B.A. or B.S. degree required

Don't think you're 100% qualified for this position? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At hatch I.T., we're dedicated to helping companies build diverse, inclusive and authentic workplaces, so if your experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You may just be the right candidate for this or other roles.


If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

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