Data Engineer Aws Lisboa

Data Engineer Aws
Lisboa
Lisboa, Lisboa, Portugal

Who are we:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3, 600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at .

Role Overview:

We are looking for a Data Engineer AWS to join one of our major clients, a technology consultancy headquartered in Lisbon with projects across Europe, specialized in IT consulting, application performance, and systems optimization for sectors such as telecommunications, banking, insurance, and public administration.

If you are passionate about building scalable and
- performance data platforms, enabling organizations to unlock the value of their data, and working with
- edge cloud and big data technologies, this role is for you.

Come energize your future with us!

What you will do:

- Design, build, and maintain scalable data platforms.

- Collect, process, and analyze large and complex datasets from diverse sources.

- Develop and implement data processing workflows using frameworks such as Spark or Apache Beam.

- Collaborate with
- functional teams to ensure data accuracy, integrity, and quality.

- Ensure data security and privacy by implementing proper access controls and encryption.

- Extract data from various sources, including databases, file systems, and APIs.

- Monitor system performance and optimize for high availability and scalability.

What you are like:

- Experience (+3 years) with cloud platforms and services for data engineering (AWS )

- Proficiency in programming languages such as Python, Java, or Scala.

- Experience with Big Data tools (Spark, Flink, Kafka, Elasticsearch, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams/Connect, Druid, etc. ).

- Knowledge of data modeling and database design principles.

- Familiarity with data integration and ETL tools (e. G. , Apache Kafka, Talend).

- Understanding of distributed systems and data processing architectures.

- Strong SQL skills and experience with both relational and No
SQL databases.

- Familiarity with other cloud platforms for data engineering (e. G. , GCP, Azure Data Factory).

- Experience with version control tools such as Git.

Why join us:

- Work on challenging projects for big clients

- Learn more about emerging technologies

- Possibility of working remotely

- Design your career plan

- Access to continuous training and certifications

- Evolve through our internal mobility program

- … and much more!