Job Description
Data engineers are key professionals in modern organizations, responsible for designing and maintaining the data architecture that stores and processes vast amounts of information.
* They work closely with data scientists to understand data requirements and develop suitable data models and schemas;
* Designing an efficient AWS Serverless DataLake architecture is a crucial task, ensuring smooth handling of large volumes of data and supporting various data processing workflows;
* Developing data ingestion pipelines and integration processes guarantees the reliable transfer of data from various sources into the DataLake;
The role involves implementing data transformation and enrichment processes using AWS Lambda, Glue, or similar serverless technologies to ensure data quality and consistency.
Requirements
Candidates must have 5+ years of experience working as a Data Engineer, with a strong focus on AWS technologies and serverless architectures;
* Experience with Azure is valuable but not essential;
* Strong programming skills in languages like Python, Java, or Scala, along with expertise in SQL for data manipulation and querying;
Benefits
Our company offers:
* Professional development and continuous evolution of your skills, always aligned with your interests;
* Opportunities to work with cutting-edge technologies and collaborate with diverse teams;
* A collaborative and innovative environment that encourages teamwork and growth;
This role offers a unique chance to contribute to the success of our organization and advance in your career.
Key skills: Data Engineering, AWS, Azure, Python, Java, Scala, SQL, Cloud Computing, Big Data.