Data Engineer Tech Lead
- Degree in Information Technology or Computer Engineering, Computer Science or a related field.
- Between 3 to 9 years of experience in designing and implementing scalable software and
- driven services using Big Data technologies, data storages (e. g. relational databases,
- value stores), data warehouses, data lakes, data lakehouses and related data processing technologies, as well as programming languages such as Spark / Python / Java / Scala (for
- time and batch processing). - Experience in building and optimizing data pipelines that process large datasets using Spark and cloud computing environment.
- Experience with working on cloud environments especially with data related services, for example Big
Query, Big
Table, Dataproc, GCS, Composer, GKE on Google Cloud Platform and
- code/no-code (e. g YAML) approaches for ETL tools. - Experience in Business Intelligence and SQL utilization on analyzing large datasets.
- Experience with workflow management platforms (like Airflow) and collaborative platforms (like Jupyter)
- Some experience in the domain of information retrieval, information extraction or machine learning/AI concepts and technologies is a plus.
- Good knowledge of Agile methodologies (SAFe / Scrum).
- In-depth understanding of software development processes, CI/CD methodologies, Devops overview and quality assurance practices. (e. g. XLRelease/XLDeploy, Terraform, Jenkins, GIT, Bitbucket, etc)
- Microsoft Azure and Power
BI is a plus. - Familiarity with AI concepts and technologies is a plus but not a primary focus of the role.
- Informações detalhadas sobre a oferta de emprego
Empresa: KCS iT Localização: Porto
Porto, Porto, PortugalPublicado: 9. 8. 2025
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