Transformational Data Architect

1 semana atrás


Brazil beBeeDataEngineer Tempo inteiro

Job Title: Senior Data Engineer About the Role We are seeking a highly skilled Data Engineer to join our team and play a key role in building and maintaining our next generation data platform. This is an exciting opportunity for someone who enjoys owning infrastructure, building reusable solutions, and supporting data teams with analytics and AI ready environments. The Job Description: Design, build, and maintain core infrastructure that enables data processing, analytics, data science, and data management across the business. Work in a multi-account and multi-region AWS environment following zero trust and least privilege principles. Implement Infrastructure as Code and CI/CD practices, alongside continuous improvement and strong governance. Key Responsibilities: Build and maintain cloud-based infrastructure using Cloud Formation and SAM. Design and implement data processing environments using AWS services such as Glue, EMR, Sagemaker, Redshift, Aurora, and Snowflake. Build data processing pipelines using Python, SQL, PySpark, Spark, Lambda, Step Functions, and Apache Airflow. Monitor performance, cost, and security of the data platform. Apply strong data governance and access control for sensitive data. Collaborate with multiple teams to support the wider data platform strategy. Requirements To be successful in this role, you will need: At least six years of experience in a Data Engineering or Data Infrastructure role. Strong experience building data architectures in AWS. Solid coding skills in Python and SQL, Golang. Strong Cloud Formation knowledge. Experience working with relational databases such as Postgres or Redshift. Good coding discipline including documentation, unit testing, and version control. Experience with Git and CI/CD tools such as GitLab. Worked in Agile teams and ceremonies. Strong problem-solving skills and excellent communication. Bonus Points If you have experience with Jira or similar project management tools, Snowflake, or spatial data processing, that's a plus We're looking forward to hearing from you if you're interested in learning more about this role.



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