Staff Database Engineer – AWS

October 14

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Nearsure

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Enterprise • SaaS • Artificial Intelligence

Nearsure is a company specialized in digital transformation, focusing on GenAI business transformation, low code journey development, and enterprise platform optimization. They offer custom software development, product and software development, and customer experience solutions. Nearsure is known for its staff augmentation and scale augment services, delivering excellence through their technical expertise and regional talent hubs in Latin America. They have partnerships with industry leaders like Microsoft, Adobe, Salesforce, and ServiceNow, ensuring early access to new platform features. Their studios model fosters innovation and business strategy, supporting over 500 projects completed for Fortune 500, tech unicorns, enterprises, and mid-market companies. Nearsure prioritizes long-term client relationships and is focused on providing high client ROI and talent retention.

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Lead the design and optimization of our global, multi-cloud data infrastructure. • Architect and manage scalable, fault-tolerant, and high-performance data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python. • Design and implement global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standards. • Own and evolve the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB. • Lead and oversee data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrity. • Define standards for indexing, query optimization, partitioning, and sharding strategies to support high-throughput and low-latency workloads. • Champion observability by implementing and scaling monitoring, alerting, and dashboards via CloudWatch, Azure Monitor, Datadog, or similar tools. • Orchestrate transformations using DBT or Coalesce, maintaining strong data lineage, validation, and governance across workflows. • Collaborate cross-functionally with Engineering, DevOps, and Analytics teams to deliver data solutions that are secure, reliable, and cost-efficient. • Mentor engineers in best practices for database performance, automation, and data reliability. • Drive automation and operational excellence through CLI tools, APIs, infrastructure-as-code (Terraform, CloudFormation, or Bicep), and CI/CD pipelines. • Ensure data quality and compliance by implementing validation frameworks, automated testing, and consistent documentation across systems.

🎯 Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field. • 6+ Years of experience working as Data Engineer, Database Engineer, or Cloud Data Architect. • Proven AWS hands-on expertise, especially with Glue, Step Functions and Lambda. • Strong Python and SQL skills for workflow development and optimization. • Experience designing and maintaining data pipelines (ETL/ELT). • Proven data migration experience (cross-cloud or hybrid, with minimal downtime). • Hands-on with data orchestration tools (e.g., Glue, Step Functions). • Solid experience with at least two database systems among: Snowflake, PostgreSQL, MySQL, DynamoDB, MongoDB. • Experience with monitoring and observability tools (CloudWatch, Azure Monitor, or Datadog). • Excellent communication and collaboration skills with technical and non-technical teams. • Azure experience (Data Factory, Synapse, Functions, Monitor). • Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or Bicep. • Experience implementing cost governance frameworks in cloud data environments. • Hands-on with data transformation tools (DBT or Coalesce). • Deep understanding of performance tuning and scaling optimization for both relational and NoSQL databases. • Experience mentoring or guiding engineers in best practices. • Strong grasp of data quality and validation frameworks. • Knowledge of partitioning, indexing, and sharding strategies for performance optimization. • Exposure to CI/CD pipelines for data engineering projects. • 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.

🏖️ Benefits

• 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!