![Blankfactor](https://media.trabajo.org/img/noimg.jpg)
Data Engineer
hace 3 meses
It's fun to work in a company where people truly BELIEVE in what they're doing
We're committed to bringing passion and customer focus to the business.
It's fun to work in a company where people truly BELIEVE in what they're doing
We're committed to bringing passion and customer focus to the business.
What we do
At Blankfactor, we are dedicated to engineering impact. We are passionate about creating value by building best-in-class tech solutions for companies looking to transform, innovate, and scale. In every project, we aim to deliver work that moves the needle and drives measurable outcomes for our partners and clients. Our full-stack development, data engineering, digital product, and enterprise AI solutions cater to a range of industries, including payments, banking, capital markets, and life sciences.
We are headquartered in Miami, Florida, have offices in Bulgaria, Colombia, and Romania, and are rapidly expanding our global footprint. Our culture of engineering excellence, technical expertise, and care for both our clients and our talented workforce has made us one of the fastest-growing companies in America.
We only hire the best and brightest. If you have talent and ambition, join us and be part of an environment that
What to expect in this role
We are offering multiple positions for Data Engineer In this role, you will serve as a key liaison with business clients, translating business needs into data and system requirements and managing data and its flow through the system. You will design robust data systems to create solutions and evaluate design approaches, and new technologies.
Our team uses industry best practices while producing high-quality solutions in a collaborative, agile, results-driven environment to meet our clients’ business needs. You will be part of a work culture where teamwork is encouraged, excellence and growth are rewarded, and diversity - respected and valued.
Requirements and technical skills
- BS/MS or greater in a quantitative field of study (Computer Science, Information Systems, Business Analytics, Engineering, Mathematics, Statistics, Marketing Analytics, etc.) and at least 3 years of experience
- Hands-on experience in large-scale global data science, warehousing, and analytics projects using Redshift, Snowflake DB, Oracle, and/or SQL Server databases
- Knowledge of data technical architecture, infrastructure components, ETL/ELT, reporting/analytic tools & microservices
- Advanced skills in reporting tools such as PowerBI, Tableau, and/or Looker
- Experience with AWS cloud using Kinesis, Lambda, DynamoDB, Athena, ECS, EKS, etc:
- Experience using R/Python in data-focused full-stack environments (from data wrangling, to analysis, to visualizations) is a plus
- Experience working with consumer-based clickstream, web behavioral data, and content data is a plus
- Strong analytical skills and a good understanding of business processes and process mapping
- Willingness to learn new technologies
- Ability to work in a team in a multiple-stakeholder environment.
What you can expect as a member of the Blankfactor team- Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies.- Technology exams/Certifications covered by the company- World-class workspace for unleashing creativity- Lunch is provided when working from the office- Fresh fruits and snacks in the office- Diverse client portfolio- Cutting-edge high-tech stack- Monthly on-site gatherings- Annual festivities: Participate in team-building activities, family BBQs, and end-of-year celebrations- Participation in Sporting Challenges and Marathons- Voluntary social events
We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.
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