Data Engineer

The ideal profile is a Data Engineer with experience in Apache Spark, AWS technologies (Lambda, EC2, RDS, etc), as DISP is much more than a data platform. This role is suited for a mid/senior-level professional with some experience and a strong willingness to learn.

Main Responsibilities:

• Managing data workflows and ensuring data quality.

• Collaborating with data architects and data scientists to optimize data usage.

• Utilizing AWS services for data storage and analysis.

• Monitoring and troubleshooting data pipeline issues.

• Documenting technical processes and design specifications.

Key Requirements:

• At least 3 years of experience has a Data Engineer.

• Experience with Apache Spark.

• Familiarity with AWS technologies (Lambda, EC2, RDS).

• Experience with Python, programming language.

• Ideal experience with CI/CD to work with infrastructure.

• Strong problem-solving skills.

• Data modeling and database skills.

• Excellent communication and teamwork abilities.

Nice to Have:

• Experience with data visualization tools.

• Knowledge of machine learning workflows.

• Familiarity with ETL processes.

Other Details:

This position is suitable for candidates seeking a dynamic work environment that embraces innovation. Opportunities for professional development are available.

Full remote position

English level - advanced (C1 Level)