AWS Data Engineer – Mid-Level/Senior

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

📋 Description

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

• Convert clients’ business goals into strategies for information management and business intelligence.

• Oversee data pipelines and guarantee secure access to information.

• Develop and present metrics and dashboards derived from the collected data.

• Ensure the quality and integrity of data.

• Participate in initiatives to modernize the data platform, emphasizing Lakehouse architecture, governance, quality, and data preparation for analytics and AI utilization.

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

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

⛳️ Requirements

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

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

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

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

• Knowledgeable in Lakehouse architecture with Apache Iceberg, focusing on analytical table management, versioning, schema evolution, partitioning, and performance tuning.

• Experience with query engines for large-scale data, including Athena, Trino, Presto, or Spark SQL.

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

• Understanding of dimensional modeling, including facts and dimensions, granularity, keys, hierarchies, metrics, and KPIs.

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

• Proven experience in conducting unit and performance testing.

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

• AWS Practitioner and AWS Data Engineer certifications are advantageous.

• Familiarity with data quality and observability is a plus.

• Experience with Terraform and CloudWatch is beneficial.

• Awareness of Data Mesh concepts is a plus.

• Knowledge of AI applications in data is also advantageous.

🏝️ Benefits

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

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

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance reviews with a structured career development plan.

• International career opportunities.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare assistance.

• Medical insurance.

• Dental insurance.

• Life insurance.