ENGENHEIRO DADOS PL
Engenheiro de Dados Pleno responsรกvel por migrar tabelas e pipelines do Cloudera Hadoop para AWS, desde o levantamento do ambiente atรฉ a estabilizaรงรฃo em produรงรฃo.
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
Our client is a public-sector organization operating business-critical data and analytics platforms that support essential internal services.
We are looking for an experienced Data Specialist to strengthen technical resilience across the organizationโs data environment. The initial focus will be on Oracle Business Intelligence Enterprise Edition (OBIEE), Oracle Data Warehouse, and Oracle Data Integrator (ODI), with scope later extending to additional Microsoft-based data platforms. The role combines hands-on technical analysis with data lineage mapping, documentation, runbook creation, troubleshooting, and structured knowledge transfer.
CONTRACT: 2-year contract with possible extension
COMMITMENT: Full-time
LOCATIONS: EU, remote work, once-a-quarter onsite visit
NOTES: Expected start date 11 January 2027. Fluent English required.
Key Responsibilities
Requirements
Engenheiro de Dados Pleno responsรกvel por migrar tabelas e pipelines do Cloudera Hadoop para AWS, desde o levantamento do ambiente atรฉ a estabilizaรงรฃo em produรงรฃo.
Build and optimize ETL/ELT pipelines, data models, and cloud-based data platforms that support analytics and reporting, using Python, SQL, Spark, Databricks, Snowflake, and AWS.
Desarrolla soluciones de ingenierรญa de datos con Databricks para proyectos internacionales, aplicando arquitectura Medallion, PySpark y SparkSQL, y automatizando pipelines y procesos CI/CD.
Build a canonical entity and knowledge graph that resolves identities across internal systems, enabling auditable permissions, compliance-ready data classification, and real-time authorization for operational agents.
Design, build, and maintain scalable data warehouse and lake solutions, developing reliable data pipelines and improving data quality and performance to support analytics and business decisions.