Data Infrastructure Specialist
Há 5 horas
Job DescriptionLead Data Infrastructure Specialist Role:We seek a highly skilled and experienced data infrastructure specialist to lead our global, multi-cloud data infrastructure efforts.This role requires in-depth technical expertise across AWS, Azure, and modern data stack tools, as well as the ability to architect, scale, and govern complex data systems that span regions and business units.Responsibilities:Design and manage scalable, fault-tolerant, and high-performance data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.Develop 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 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.Implement 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.Required Skills and QualificationsQualifications: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.
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