Data Engineer

What are we looking for?

We are looking for you if you are a Data Engineer with a minimum of 3 years of experience to work for a leading IT company.

Does it fit with your background and professional expectations? We are looking forward to meeting you!

As a Data Engineer, your responsibilities will be:

• Primarily developing with Java 11 in Spring Tool Suite.
• Designing, developing, and implementing efficient and scalable data pipelines using Data Warehouse and Data Lake technologies.
• Configuring and maintaining cloud data infrastructures using technologies such as Azure and AWS, including services like Azure Synapse Analytics, Amazon Redshift, Azure Data Lake Storage, and Amazon S3.
• Developing and maintaining ETL (Extract, Transform, Load) processes to extract, transform, and load data from multiple sources into data storage systems.
• Ensuring data quality and consistency through cleaning, validation, and quality assurance techniques.
• Optimizing the performance of data processing and storage systems, ensuring the efficiency and scalability of the implemented solutions.
• Implementing security practices and regulatory compliance in handling sensitive data.

Work Schedule

- Full time 40 hours
- Work mode: Remote

Requirements

We require a minimum of 4 years of experience in a similar position, but above all, motivation and enthusiasm for well-done work.

• Bachelor's degree in Computer Science, Systems Engineering, or, optionally, another related field.
• Previous experience in designing and implementing Data Warehouse and Data Lake solutions.
• Extensive knowledge and practical experience in Azure and/or AWS cloud technologies and services such as Azure Synapse Analytics, Amazon Redshift, Azure Data Lake Storage, Amazon S3, etc.
• Proficiency in programming languages like Python or Java, with experience applying them in data engineering projects.
• Solid understanding of relational and NoSQL database architectures and designs.
• Experience in developing and maintaining ETL processes using tools and frameworks like Azure Data Factory, AWS Glue, Apache Spark, etc.
• Knowledge of DevOps tools.
• Familiarity with agile software development methodologies and good data engineering practices.

Why us?

• Honesty, commitment and support towards you, your goals and your projects.
• Time flexibility, enjoy a flexible schedule to reconcile your work and family life in an unbeatable work environment.
• Union: The skills, culture and diversity of our collaborators add up and add value to our company.
• We are committed to creating an inclusive and accessible workplace. We reject intolerance, violence and racism.
• Knowledge and experience by our experts and passion for what they do. For us, learning is synonymous with reliability, solidity and trust.
• Excellence and innovation, to always give the best version of ourselves and offer optimal results.
• Corporate Social Responsibility: We work to build a future of shared success, leading the change towards a more sustainable and responsible economy.

Contact

Núria Avilla Plaza
Directora RRHH
IN2 INGENIERÍA DE LA INFORMACIÓN S.L.
nuria.avillaplaza@in2.es
www.in2.es