Data Engineer
Hace 2 semanas
Palma de Mallorca, Islas Baleares, España
Coforge
Jornada completa
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We are seeking a Data Engineer to support the implementation of a new CRM platform by designing, building, and maintaining scalable data pipelines and integrations. The role will play a key part in enabling customer insights, opportunity matching, reporting, analytics, and operational processes while ensuring data quality, governance, and scalability.
Key Responsibilities
* Analyse existing data sources and define data contracts with business consumers.
* Design, develop, and maintain data ingestion, transformation, and publishing pipelines.
* Build data models supporting customer profiles, opportunities, matching engines, tracking, and reporting.
* Implement data quality controls, reconciliation processes, and monitoring.
* Optimise ETL/ELT processes for performance, scalability, and cost efficiency.
* Work closely with Full Stack Developers to expose and consume data within the application.
* Document data lineage, models, business rules, dependencies, and recovery procedures.
* Ensure compliance with security, governance, and privacy standards. Required Skills
* Strong experience with Apache Spark for large-scale data processing.
* Hands‑on experience with AWS, including S3, RDS/PostgreSQL, IAM, and EMR.
* Solid knowledge of SQL for transformation, optimisation, and analytics.
* Experience designing and implementing ETL/ELT pipelines.
* Strong understanding of data modelling, data quality, metadata management, and traceability.
* Experience with Git, CI/CD, automated testing, monitoring, and alerting.
* Knowledge of security principles including IAM, encryption, secrets management, and least‑privilege access.
* Experience working in Agile delivery environments. #J-18808-Ljbffr
Key Responsibilities
* Analyse existing data sources and define data contracts with business consumers.
* Design, develop, and maintain data ingestion, transformation, and publishing pipelines.
* Build data models supporting customer profiles, opportunities, matching engines, tracking, and reporting.
* Implement data quality controls, reconciliation processes, and monitoring.
* Optimise ETL/ELT processes for performance, scalability, and cost efficiency.
* Work closely with Full Stack Developers to expose and consume data within the application.
* Document data lineage, models, business rules, dependencies, and recovery procedures.
* Ensure compliance with security, governance, and privacy standards. Required Skills
* Strong experience with Apache Spark for large-scale data processing.
* Hands‑on experience with AWS, including S3, RDS/PostgreSQL, IAM, and EMR.
* Solid knowledge of SQL for transformation, optimisation, and analytics.
* Experience designing and implementing ETL/ELT pipelines.
* Strong understanding of data modelling, data quality, metadata management, and traceability.
* Experience with Git, CI/CD, automated testing, monitoring, and alerting.
* Knowledge of security principles including IAM, encryption, secrets management, and least‑privilege access.
* Experience working in Agile delivery environments. #J-18808-Ljbffr