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Senior AWS Data Engineer | GFT Technologies | Remote Brazil
Senior AWS Data Engineer at GFT Technologies, developing data pipelines, metrics, and Lakehouse architecture. Modernizing data platforms for analytics, governance, and artificial intelligence.
विवरण
- Manage and process high-volume data with ETL tooling.
- Turn client business goals into information management and business intelligence strategies.
- Maintain reliable data pipelines and secure information access.
- Build and publish metrics and dashboards while protecting data quality and integrity.
- Support data platform modernization through Lakehouse architecture, governance, quality, and preparation for analytics and AI.
- Develop dimensional models for business teams, dashboards, and reporting.
- Support the full data lifecycle, from ingestion and processing through storage, transformation, consumption, and governance.
आवश्यकताएँ
- Senior-level experience in data engineering and AWS.
- Hands-on experience collecting, transforming, and loading data with ETL tools, Python, and PySpark.
- Working knowledge of AWS Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch.
- Knowledge of NoSQL data modeling and databases such as MongoDB, DynamoDB, and Hadoop.
- Understanding of Lakehouse architecture with Apache Iceberg, including table management, versioning, schema evolution, partitioning, and performance tuning.
- Experience with large-scale query engines such as Athena, Trino, Presto, or Spark SQL, including query optimization and columnar formats such as Parquet and ORC.
- Knowledge of dimensional modeling concepts, including facts, dimensions, granularity, keys, hierarchies, metrics, and indicators.
- Experience handling structured, semi-structured, and unstructured data.
- Experience conducting unit and performance testing.
- Knowledge of cloud security practices, access controls, and monitoring.
- AWS Practitioner or AWS Data Engineer certification is advantageous.
- Experience with data quality and observability is advantageous.
- Experience using infrastructure-as-code tools such as Terraform and CloudWatch is advantageous.
- Knowledge of Data Mesh is advantageous.
- Knowledge of applying AI to data is advantageous.
- Strong analytical and problem-solving ability.
- Ability to work independently and manage time effectively.
लाभ
- Flexible benefits card with choice over how and where funds are used.
- Education support for undergraduate, graduate, MBA, and language studies.
- Programs that reward professional certifications.
- Flexible working hours.
- Competitive compensation.
- Annual performance review supported by a structured career development plan.
- Opportunities for international career growth.
- Access to Wellhub and TotalPass.
- Private pension plan.
- Childcare support.
- Health insurance.
- Dental and life insurance.
- fields
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