(1521) Senior Data and Insight Engineer
Job Description
Join Nortal for your next big adventure. We are seeking a Data and Insight Engineer to join our team, grow with us, and teach us a few things along the way.
Why join Nortal
- Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values.
- Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being.
- Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities.
- Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth.
Our benefits ✨
- Competitive USD salary.
- 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM.
- Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary.
- Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better.
- Annual credit: Spend it on the perks you love to enhance your work-life balance.
- Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community.
- Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family.
About the project
As a Data and Insight Engineer, you will have a strong background in working with diverse data sets, expertise in data collection methodologies, and a proven track record in data cleaning and transformation. As a Data Engineer, you will play a pivotal role in ensuring the accuracy, reliability, and accessibility of our data, enabling the organization to derive meaningful insights and make informed decisions. Familiarity with data platforms such as AEP, Google Cloud, and AWS, along with proficiency in Python and AI, will be crucial for success in this role.
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