Design, develop, and optimize next-generation data architecture using Scala and AWS ecosystem. Build high-performance, distributed data processing systems and implement real-time data ingestion and processing solutions. Apply best practices in Scala and functional programming to build robust, type-safe, and maintainable codebases.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Your connection with Aubay starts in the following lines:
Aubay Portugal is a multinational French company, in Portugal since 2007. We have offices in Lisbon and Oporto and we are a specialized consultant in Management, Implementation, Development and Maintenance of Information Systems. We have more than 150 active partners and we operate in sectors such as banking, insurance, telecommunications, services, energy and transports.
What are we looking for?
We are seeking a highly analytical and experienced Senior Data Engineer with a minimum of 5 years of experience to design, develop, and optimize our next-generation data architecture. The core of this role involves building high-performance, distributed data processing systems using Scala and the AWS ecosystem.
- Distributed Processing: Design and implement large-scale data processing engines using Apache Spark with Scala to handle massive datasets efficiently.
- AWS Architecture: Build and manage cloud-native data solutions using AWS Glue, Amazon EMR, Amazon S3, and AWS Lambda.
- Functional Programming Excellence: Apply best practices in Scala and functional programming to build robust, type-safe, and maintainable codebases.
- Streaming & Messaging: Implement real-time data ingestion and processing solutions using Amazon Kinesis or MSK (Managed Streaming for Apache Kafka).
- Optimization: Fine-tune Spark jobs and SQL queries to reduce latency and infrastructure costs within the AWS environment.
- Willines to move to Portugal
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What do we have to offer you?
- Health Insurance;
- Feedback&Coffee – the system that includes Aubay’s Performance Management Cycle, with regular moments of feedback and the Career Progression Model;
- Working model: remote;
- A Training Academy designed to think of you and your needs. You can count on technical and behavioural training sessions (e-Learning and classroom), Meet&Techs, Webinars and Mentoring;
- Events and Teambuildings.
What makes us different?
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- Our organizational culture is based on values such as transparency, team spirit, regular feedback and continuous learning;
- Reference prizes and birthday present;
- We don’t have a dress code;
- We know your name and all address each other informally;
- You will grow in good company. Isn’t this one of the ways in which to develop professionally?
If we got your attention, we now hope to spark your enthusiasm. Ready for the first phase? We are waiting for you! aline.s.sena@aubay.pt
Personal Data collected by AUBAY PORTUGAL as Data Controller, regarding the identification, contact and professional capabilities of the candidates, in the present procedure, will be processed for the application analysis, having in consideration that the processing is conducted in order to to take the steps, at the request of the data subject, prior to entering into a contract;
Personal data sent through the present application will be kept by Aubay during the application procedure and will remain stored whilst updated (for two years period). The collected data might be transferred or include other processing actitivites, as long as the data subject is informed, in the occurrence of a standard application and selection procedure, for the compliance of legal obligations for the time required by law. For any queries or request regarding personal data protection rights, the Data Subject may contact AUBAY PORTUGAL’s headquarters in Avenida Duque D`Ávila, nº46 em Lisboa or use the DPO’s e-mail - dpo@aubay.pt. The Data Subject also has the right to file a complaint with the National Data Protection Authority – www.cnpd.pt. (please do not include data regarding racial or ethnical origins, political opinions, religion, philosophy, biometrical data, health data, sexual life and orientation, or relating to o criminal convictions and offences.)
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