Senior Data Engineer

Summary

Join Nearsure's LATAM team and work remotely while staying connected. We value open communication and autonomy, prioritizing your well-being with a dedicated People Care team. As a Data Engineer, you'll design, develop, and maintain highly scalable data engineering solutions leveraging AWS services. You'll collaborate with various teams and contribute to innovative projects in the insurance industry. Enjoy competitive salary, 100% remote work, paid time off, and various other benefits. Nearsure offers a supportive and collaborative work environment with opportunities for professional growth.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 5+ Years of experience working with Python and Scala for data engineering and ETL. Proven ability to build robust and scalable ETL processes
• 5+ Years of experience working with data pipeline tools (e.g., Informatica, Spark) and DAG orchestration tools (e.g., Airflow, AWS Step Functions)
• 5+ Years of experience working in the AWS ecosystem or GCP
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

Responsibilities

• Design, develop, maintain, and enhance highly scalable data engineering solutions leveraging AWS services
• Design, build, document, and implement scalable pipelines with a clear focus on data quality and reliability
• Ingest and transform structured, semi-structured, and unstructured data from multiple sources
• Build an enterprise-level ETL/ELT solution
• Innovate and build proprietary algorithms to tackle complex problems involving interesting data challenges
• Execute and continually optimize new customer data ingestion and model implementation processes
• Integrating business knowledge with technical functionalities
• Collaborate with application engineers, data scientists, product managers, and product delivery teams
• Develop solutions at the intersection of data and ML
• Monitor workflow performance, reliability, and ensure SLA targets are met
• Automate existing code and processes using scripting, CI/CD, infrastructure-as-code and configuration management tools

Preferred Qualifications

• 3+ Years of experience working using cloud provider AI services
• 3+ Years of experience working with Kubernetes and developing applications at scale
• 3+ Years of experience developing ETL solutions using AWS services (e.g., S3, IAM, Lambda, RDS, Redshift, Glue, SQS, EKS, ECR)
• 2+ Years of experience working utilizing Scala with Spark or PySpark for large-scale data processing and analysis. Strong understanding of Spark architecture and optimization techniques
• Expert in SQL programming with relational databases
• High proficiency in SQL programming and writing complex queries
• Experience with distributed computing tools (e.g., Spark, Hive)
• Experience with software engineering best practices (e.g., version control, CI/CD, automated testing, DevOps)

Benefits

• USD 💲 Salary compensation
• 100% remote work 🏢 but if you feel like connecting with people you can visit coworking spaces all over LATAM allowing you to expand your professional network
• Paid time off according to your country’s law without affecting your monthly salary to ensure that you have plenty of time to rest and recharge
• Your country’s national holidays 🌴 allow you to celebrate important events and traditions with your loved ones
• Sick or medical leave 😷 when needed so that you can take a day off to take care of your health, and have wellbeing without worrying about work
• Refundable annual credit 💸 for you to spend on your favorite perks
• Teambuilding activities 🤜🤛 such as coffee breaks, tech talks, and after-work gatherings with your Nearsure colleagues, to feel close to our community
• A day off during your birthday week 🥳🎂 to enjoy with your family and friends, ensuring that you have a chance to make memories on your special day