Senior Data Engineer

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11 hours ago

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AVANTTi

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B2B • Recruitment • Enterprise

AVANTTi is a Brazilian technology services company that helps organizations maximize the value of their technology and innovation projects through its VMO (Value Management Office) methodology. It offers IT staffing and hunting (outsourcing/bodyshop), rapid squad formation, a software factory for technologies like ABAP, Java and . NET, and portfolio/SAFe management to support digital transformation across sectors such as banking, manufacturing, logistics, retail and education. The company operates from Curitiba, São Paulo and Rio de Janeiro and focuses on B2B delivery, enterprise IT solutions and talent allocation.

51 - 200 employees

🤝 B2B

🎯 Recruiter

🏢 Enterprise

📋 Description

• Design and evolve modern data architectures (data lakes, lakehouses, data hubs). • Build and maintain large-scale ingestion and processing pipelines, including streaming solutions. • Work on critical initiatives involving data modeling, transformation, and governance. • Implement cloud solutions using native AWS, GCP, or Azure services. • Ensure data quality, security, traceability, and reliability throughout the data lifecycle. • Contribute to DevOps practices, including automated testing, versioning, and CI/CD workflows. • Perform advanced troubleshooting and optimization of Spark pipelines and jobs. • Collaborate with architects, engineers, and business teams to deliver scalable and efficient solutions. • Participate in global technical meetings and discussions in English.

🎯 Requirements

• Advanced English for reading, communication, and participation in international meetings. • Experience developing data systems in AWS, GCP, or Azure. • Practical experience building data lakes, lakehouses, and data hubs. • Experience with Kafka, AWS Glue, and formats such as Iceberg and Parquet. • Experience with Kafka, Flink, or similar tools. • Strong skills in SQL, dbt, Airflow, Glue, including SCDs and schema evolution. • Proficiency in transformations, streaming, performance tuning, and Spark UI debugging. • Advanced Python, Java, and/or Scala; strong SQL skills. • Experience with CI/CD, code repositories, and deployment best practices. • Knowledge of data quality, privacy, and security frameworks.