Semi Senior Data Engineer
Explore the Nearsure experience!
Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.
Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.
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️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.
Ready to grow with us?
Here’s what we offer you by joining us! ✨ Competitive USD salary – We value your skills and contributions!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 time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!
National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
Refundable 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 Nearsure family and feel part of our vibrant community.
Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! About the project As a Semi Senior Data Engineer, you will have solid hands-on experience with Python, SQL, and ETL processes, with a strong focus on AWS Glue. In this role, you will be responsible for designing, developing, and maintaining scalable, high-performance data pipelines that support our growing data infrastructure. How your day-to-day work will look like ✅ Design and maintain efficient data pipelines for both batch and real-time processing. ✅ Integrate and transform data from multiple sources, ensuring data quality and consistency. ✅ Optimize ETL/ELT processes and ensure data availability for business and analytics teams. ✅ Collaborate with cross-functional teams (Data Science, Product, Engineering) to translate requirements into technical solutions. ✅ Monitor and improve data infrastructure, proposing enhancements to architecture and tooling. This would make you the ideal candidate ✨ Bachelor's Degree in Computer Science, Engineering, or a related field. ✨ 4+ Years of experience working with SQL. ✨ 4+ Years of experience working with ETL. ✨ 4+ Years of experience working with Python. ✨ 2+ Years of experience working with AWS Glue. ✨ Experience working with MySQL. ✨ Experience working with Git. ✨ Advanced English Level is