Pavago
GFT Technologies SE
Data Engineering | Hybrid or Remote in SP - 133588
PythonJavaSQLAWSGCPDockerKubernetes
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ABOUT THE ROLE
We are looking for professionals with experience in Data Engineering to work on high-complexity projects, developing scalable, resilient, and high-performance solutions for data processing, integration, and availability.
This is an opportunity with possibilities for working on national and international projects, in different work models (hybrid or remote).
RESPONSIBILITIES
- Develop and maintain scalable and efficient data pipelines; *
- Act in the construction and evolution of ETL/ELT processes; *
- Design and optimize data architectures in cloud environments; *
- Ensure data quality, reliability, and governance; *
- Work with large volumes of structured and unstructured data; *
- Act in problem-solving, debugging, and performance optimization; *
- Collaborate with multidisciplinary teams, including Analytics, BI, Data Science, DevOps and Software Engineering; *
- Participate in the support and monitoring of data platforms in production.
REQUIREMENTS
- Experience with Data Engineering; *
- Solid knowledge in SQL and data modeling; *
- Experience with Python, Scala or Java; *
- Experience with ETL/ELT and data pipelines; *
- Knowledge in Cloud (AWS, Azure or GCP); *
- Experience with SQL and NoSQL databases; *
- Experience with data orchestration and processing tools; *
- Knowledge in CI/CD and code versioning.
PREFERRED QUALIFICATIONS
- Experience with Spark, Databricks, Kafka, Airflow or Snowflake; *
- Experience with modern data architectures, Data Lake or Data Warehouse; *
- Experience with Docker and Kubernetes; *
- Knowledge in Analytics, AI or Machine Learning projects; *
- Experience in high scalability environments; *
- Experience in banking or financial environments.
