AWS Data Engineer – Mid-Level/Senior

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

📋 Description

• Organize, gather, and process substantial amounts of data utilizing ETL tools.

• Convert the client's business goals into a strategy for information management and business intelligence.

• Maintain data pipelines and guarantee secure access to data.

• Develop and present metrics and dashboards based on the collected data, ensuring data quality and integrity.

• Participate in data platform modernization efforts, focusing on Lakehouse architecture, governance, quality, and preparing data for analytical and AI usage.

• Design dimensional models for use by business teams, dashboards, and reports.

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

⛳️ Requirements

• Mid-Level/Senior professional with experience in Data/AWS.

• Proficiency in collecting, transforming, and loading data using Python/PySpark ETL tools.

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

• Understanding of NoSQL modeling and databases, including MongoDB, DynamoDB, and Hadoop.

• Knowledge of Lakehouse architecture with Apache Iceberg, covering analytical table management, versioning, schema evolution, partitioning, and performance optimization.

• Experience with query engines for handling large data volumes: Athena, Trino, Presto, or Spark SQL.

• Capability to optimize queries and work with columnar formats such as Parquet and ORC.

• Understanding of dimensional modeling: facts and dimensions, granularity, keys, hierarchies, metrics, and indicators.

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

• Background in performing unit and performance testing.

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

• AWS Practitioner and AWS Data Engineer certifications are advantageous.

• Experience with data quality and observability is a plus.

• Familiarity with infrastructure-as-code tools like Terraform and CloudWatch is a plus.

• Understanding of Data Mesh concepts is a plus.

• Knowledge of AI applications in data is a plus.

• Strong problem-solving abilities.

• Capability to work independently and manage your own schedule.

🏝️ Benefits

• Flexible benefits card – choose how and where to utilize it.

• Scholarships available for undergraduate, graduate, MBA, and language courses.

• Incentive programs for certifications.

• Flexible working hours.

• Competitive salary packages.

• Annual performance evaluations with a structured career development plan.

• Opportunities for international career advancement.

• Access to Wellhub and TotalPass.

• Private pension scheme.

• Assistance with childcare.

• Health insurance coverage.

• Dental insurance coverage.

• Life insurance coverage.