Data Engineer

About the Role

We are seeking a skilled Data Engineer to join our team and help design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate has strong experience working with Python, SQL, cloud-based data platforms, and modern data engineering practices.

This role requires a proactive professional who enjoys solving complex data challenges and collaborating across teams to deliver reliable and scalable data solutions.

Requirements

• 5+ years of professional experience in Data Engineering or related roles.

• Strong Python programming skills, including experience with Pandas and NumPy.

• Advanced SQL skills and experience working with relational databases.

• Experience designing, building, and maintaining ETL/ELT pipelines.

• Hands-on experience with AWS data platforms, including Amazon S3 and Data Lake architectures.

• Familiarity with AWS services such as Glue, Athena, Lambda, Step Functions, and/or Redshift.

• Experience integrating and consuming REST APIs.

• Experience working with time-series datasets.

• Knowledge of analytical data formats including Parquet, CSV, and JSON.

• Experience using Docker-based development environments.

• Proficiency with Git and collaborative software development practices.

• Understanding of data quality, validation, monitoring, and observability concepts.

• Strong problem-solving, attention to detail and analytical skills

• Ability to work independently in a remote environment.

• Effective collaboration skills.

• Professional English communication skills.

Nice to Have

• Experience in energy, power, electricity, or trading markets.

• Experience supporting machine learning workflows and data science teams.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.

• Build and optimize data ingestion processes from multiple sources, including REST APIs, databases, and external systems.

• Design, build, and optimize data ingestion and processing workflows using Python and SQL.

• Develop and maintain data solutions leveraging AWS services and Data Lake architectures.

• Work with structured and semi-structured data formats, including Parquet, CSV, and JSON.

• Implement data validation, monitoring, and quality controls.

• Optimize data models, queries, and storage solutions for performance and scalability.

• Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

• Support analytics, reporting, and machine learning use cases.

Fully Remote Opportunity

Mexico Candidates Only