(1260) Staff Database Engineer (AWS)
Company:Nearsure
Location:LATAM
Languages:English
Seniority level:Staff, 6+ years
Experience:6+ years
Skills:
AWSPostgreSQLPythonSQLDynamoDBMongoDBSnowflakeCI/CDDevOpsTerraform
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.
Responsibilities:
- 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.
