Data Engineer | AWS Porto

Overview

Join to apply for the Data Engineer | AWS role at Celfocus.

Make an impact by working in sectors where technology enables innovation and continuous improvement. Be part of a team that combines business knowledge, technology, and design to develop solutions and experiences for digital clients. Face challenges and learn new ways of thinking to maximize energy and creativity.

The Role

The Data Engineer is responsible for building and maintaining data platforms. This role focuses on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis. You will implement scalable and performant data pipelines and data integration solutions, agnostic of data sources and technologies to ensure efficient data flow and high data quality, enabling data scientists, analysts, and other stakeholders to access and analyze data effectively.

As a part of your job, you will:

• Design, build, and maintain scalable data platforms;
• Collect, process, and analyze large and complex data sets from various sources;
• Develop and implement data processing workflows using data processing framework technologies such as Spark and Apache Beam;
• Collaborate with
  - functional teams to ensure data accuracy and integrity;
• Ensure data security and privacy through proper implementation of access controls and data encryption;
• Extraction of data from various sources, including databases, file systems, and APIs;
• Monitor system performance and optimize for high availability and scalability.

What we are looking for

• Experience with cloud platforms and services for data engineering (AWS);
• Proficiency in programming languages like Python, Java, or Scala;
• Experience with Big Data tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and 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 relational and No
  SQL databases;
• Familiarity with other cloud platforms and services for data engineering (e. g. , GCP, Azure Data Factory);
• Experience with version control tools such as Git.

Personal traits

• Ability to adapt to different contexts, teams and clients;
• Teamwork skills with a sense of autonomy;
• Motivation for international projects and willingness to travel if needed;
• Willingness to collaborate with other players;
• Strong communication skills.

Equal Opportunity

At Celfocus, we are committed to cultivating a diverse and inclusive workplace. As an
- opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

About Celfocus

Celfocus is a European
- tech system integrator, providing
- edge professional services focused on creating business value through Analytics and Cognitive solutions. We address Telecommunications, Financial Services, Retail, Energy & Utilities, Pharmaceutical, and other
- ' opportunities. As a highly specialized engineering company, Celfocus helps clients through their innovation path, providing technological solutions to extract value from data and make it actionable. Serving clients in +25 countries, Celfocus delivers solutions that boost customer experience and enhance operational efficiency, via our Cognitive Automation, Data & Analytics and Digital offers.

Job Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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