Data Engineer (Rif. 2026-112)
Core
Designing and implementing ETL pipelines and data lake solutions on AWS to integrate heterogeneous systems for a sustainable mobility client.
Role type
Cloud Data Engineer
Builds
Data pipelines, data lakes, and low-latency data integrations for microservices ecosystems.
Domain
Cloud infrastructure and data engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
AWS (Glue, Lambda, S3, DynamoDB, Aurora, Athena, Step Functions), Apache Spark (Scala/Python), SQL, NoSQL (MongoDB), API integration (REST), Python scripting, data quality management
Preferred skills
Infrastructure as Code (Terraform/CloudFormation), stream processing (Kafka/Kinesis), data governance and monitoring, CI/CD pipelines, containerization and orchestration
Technologies
AWS, Apache Spark, SQL Server, DynamoDB, Aurora, MySQL, MongoDB, S3, Athena, EventBridge, DMS, Debezium, Terraform, CloudFormation, Kafka, Kinesis, CloudWatch
Responsibilities
Design and implement ETL pipelines for heterogeneous system integration; Create data migration and CDC solutions for continuous synchronization; Design data lake solutions on S3 with partitioning strategies; Develop low-latency data integrations for CRM synchronization across microservices; Manage schema evolution and resolve data quality issues between SQL and NoSQL systems
Seniority
Mid-level, hands-on IC
