Back to SearchSenior Data Software Engineering Consultant
Remote in Mexico
Data Software Engineering, Consultancy
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We are looking for a Senior Data Software Engineering Consultant to help deliver modern analytics solutions by developing, maintaining, and optimizing data integration and transformation processes on Snowflake and Databricks. You will collaborate with architects and senior consultants, contribute to reliable pipelines, and support data quality and performance—apply to join the team.
Responsibilities
- Develop ETL/ELT processes to integrate data from multiple sources
- Build and maintain data pipelines in Snowflake and Databricks
- Implement data transformations using SQL and Python
- Load, validate, and monitor data to ensure reliability
- Optimize queries and data processing workflows to improve performance
- Support implementation of data models for analytics and reporting
- Execute quality assurance activities and perform testing
- Document developments, data flows, and technical components
- Resolve incidents and perform evolutionary maintenance of implemented solutions
- Collaborate with architects, technical leads, and business users
Requirements
- 2–4 years of experience in data engineering or business intelligence projects
- Practical experience with Snowflake development, including database objects and ELT loads
- Practical experience with advanced SQL queries in Snowflake
- Practical experience with Databricks notebooks and Apache Spark processing
- Hands-on Python and SQL skills for data transformations
- Solid relational and dimensional data modeling knowledge
- Experience with ETL/ELT integration processes and data validation
- Git version control proficiency
- Strong analytical skills and problem-solving orientation
- Clear communication skills with technical and functional teams
- Strong teamwork skills and collaboration mindset
- Good organization skills and activity follow-up
- Upper-Intermediate English language proficiency (B2+)
Nice to have
- Experience with cloud environments such as AWS, Azure, or Google Cloud
- Basic knowledge of Data Lake and Lakehouse concepts
- Experience with data orchestration tools
- Knowledge of data quality and data governance concepts
- Relevant certifications or courses in Snowflake, Databricks, or cloud platforms