Fully Remote Opportunity Mexico Candidates Only 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 adecuado 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

📌 Data Engineer (Chihuahua)
🏢 Rivka Development
📍 Chihuahua