Senior Data Engineer – AWS

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Organize, gather, and process extensive datasets utilizing ETL tools.

• Transform the client's business goals into a comprehensive information management and business intelligence strategy.

• Oversee data pipelines while ensuring secure access to information.

• Develop and present metrics and dashboards derived from collected data, maintaining data quality and integrity.

• Participate in data platform modernization efforts, emphasizing Lakehouse architecture, governance, quality, and preparing data for analytics and AI applications.

• Create dimensional models for the use of business teams, dashboards, and reports.

• Administer the entire data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

⛳️ Requirements

• Senior-level expert focused on Data/AWS.

• Proficient in data extraction, transformation, and loading utilizing Python/PySpark ETL tools.

• Familiarity with AWS Cloud services: Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch.

• Experience with NoSQL modeling and databases such as MongoDB, DynamoDB, and Hadoop.

• Knowledge of Lakehouse architecture with Apache Iceberg, including management of analytical tables, versioning, schema evolution, partitioning, and performance tuning.

• Proficient in query engines for large-scale data, including Athena, Trino, Presto, or Spark SQL, with skills in optimizing queries and working with columnar formats like Parquet and ORC.

• Understanding of dimensional modeling (fact and dimension tables, granularity, keys, hierarchies, metrics, and KPIs).

• Experience with structured, semi-structured, and unstructured data.

• Execution of unit and performance testing.

• Knowledge of best practices in cloud security, access control, and monitoring.

• AWS Certified Cloud Practitioner and AWS Certified Data Engineer certifications.

• Familiarity with data quality and observability.

• Experience with infrastructure-as-code tools (Terraform, CloudWatch).

• Understanding of Data Mesh concepts.

• Knowledge of AI applications in data.

🏝️ Benefits

• Multi-benefit card – choose how and where to utilize it.

• Educational grants for undergraduate, graduate, MBA, and language courses.

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance reviews with an organized career development plan.

• Opportunities for international careers.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare assistance.

• Medical insurance.

• Dental insurance.

• Life insurance.