Senior Data Engineer With Gxp

2 semanas atrás

Belo Horizonte, Minas Gerais, Brasil Sii Poland Tempo inteiro

Join Sii Poland as a Senior Data Engineer. In this role, you will design, build, and maintain robust data pipelines and scalable architectures to deliver trusted data from QA/QC systems into analytics and AI/ML platforms that drive critical decision-making across the organization. Your tasks Designing and optimizing data pipelines that ingest, process, and delivering data in a regulated (GxP) environment Building and maintaining scalable data models and storage architectures for analytics and AI/ML workloads Developing ETL/ELT workflows and APIs with traceability and validation in mind Implementing data quality checks, automated testing, and monitoring to ensure data integrity and compliance Collaborating with data scientists and AI/ML engineers to deliver production-ready datasets Partnering with cross-functional teams to translate business needs into technical solutions Contributing to CI/CD, infrastructure as code, and automation workflows for data platform operations Championing engineering best practices, code reviews, and continuous improvement across the team Requirements At least 6 years of professional experience in data or software engineering, with 3+ years in lead roles overseeing data engineering Proven experience building production-grade data pipelines and cloud-native architectures. Deep expertise in the AWS data stack (S3, Glue, Lambda, Athena, Redshift) Proficient in Python and SQL (PostgreSQL, Redshift, MySQL), with deep experience in scripting and automation Hands-on experience with ETL/ELT workflows using Airflow (custom DAGs), DBT, and YAML-based frameworks Strong understanding of data modelling, schema design, normalization, and analytics query optimization Practical experience with Spark and Kafka or batch and streaming data processing Experience delivering AI/ML-ready datasets, including feature engineering and real-time inference support Understanding of GxP, computer system validation (CSV), and documentation/testing requirements for validated systems

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