About Us: We are a bootstrapped startup on a challenge to assist Walmart and Amazon dealers in any respect ranges, from retail arbitrage to wholesale to personal label, in finding successful merchandise. Our purpose is to provide equipment that cut back the effort and time wanted for product and marketplace analysis. Whilst we aren’t the primary within the house, we are striving to be the most productive via offering actionable insights and leading edge answers.
Place: Senior Information Engineer / Analytics Engineer (Phase-time or Complete-time)
Hours: No Set Time table (You Set up Your Time)
What We Want from You:
- A self-starter with sturdy analytical and problem-solving abilities, being able to extract insights and patterns from advanced knowledge.
- Just right command of English, each written and spoken.
- Skill to paintings remotely without a minimum supervision
- Meticulous consideration to element and a zeal for handing over fine quality paintings.
- Willingness to take non permanent ache for long-term achieve.
- Skill to paintings within the PST timezone.
Key Duties:
- Pioneer, broaden, and care for our knowledge infrastructure, making sure scalability and potency.
- Make foundational technical choices relating to equipment, knowledge fashions, and information processing methods. Overview choices equivalent to aggregating knowledge inside the database or externally, opting for between PostgreSQL, BigQuery, Redshift, or leveraging PySpark with AWS EMR for knowledge processing. Those choices will have to be subsidized via knowledge and imagine long term scalability and potency.
- Collaborate with founding contributors to grasp knowledge wishes and ship insights that pressure trade choices for our consumers.
- Design and put into effect powerful knowledge fashions that beef up our product and marketplace analysis features.
- Paintings with quite a lot of knowledge assets, together with third-party APIs, crowd-sourced knowledge, and internet scraping, to complement our dataset.
- Construct and care for database infrastructure to permit ad-hoc seek, clear out, and type features in our dashboard.
- Create knowledge infrastructure to beef up historic timelines for merchandise, enabling pattern research and marketplace forecasting.
Required Revel in:
- Sturdy trade acumen and the power to translate trade wishes into knowledge answers.
- Confirmed revel in in knowledge modeling and SQL.
- Elementary familiarity with git.
- Revel in with knowledge visualization and dashboard construction is a plus.
- No less than 3 years of revel in.
Tech Stack Wisdom:
- Revel in with knowledge processing frameworks (e.g., Apache Spark, AWS EMR, Airflow).
- Revel in with cloud suppliers (e.g., AWS, GCP, Azure)
- Familiarity with PostgreSQL or an identical relational databases.
- Wisdom of front-end applied sciences equivalent to Vue 3 and Chart.js for dashboard construction is a plus.
In case your revel in suits our necessities be able for the following steps:
- A video detailing a prior mission, the issues you encountered, your way to fixing them, the result of the ones answers, and the have an effect on on efficiency
- Tradition-fit screening name with the Founder
- Technical interview with the Lead Engineer
Reimbursement: Negotiable, in line with revel in and {qualifications}. Fairness choices are to be had.
Easy methods to Follow: Please entire our temporary survey on the Survey Hyperlink and proportion any related revel in in knowledge engineering or analytics roles that you simply imagine will make you a success on this place.
Sign up for Us: This isn’t only a activity; it is a occupation alternative to develop with us. We are in search of a devoted person who is able to make a long-term dedication and give a contribution to our imaginative and prescient.