Senior Data Engineer – GCP LTI
Job Location:
Mexico City - Mexico
Monthly Salary:
Posted on:
Vacancies:
Job Summary
At Sequoia Connect we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent connecting human potential with complex industrial execution. By joining our network you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your Human OS and accelerating your growth through world-class high-impact projects.
We are currently partnering with a global technology consulting and digital solutions powerhouse that empowers more than 750 clients to succeed in a converging world. As a USD 3.4 billion organization with a workforce of 90000 professionals across five continents our client is a recognized leader in the industries that drive economic growth including Construction Finance and Technology. They are renowned for accelerating digital transformation through their proprietary Mosaic platform enabling advanced journeys in IoT cloud social and analytics for global customers.
This is your chance to thrive in a culture that goes the extra mile and prizes innovation-led solutions. You will join an international network of expertise where you will gain exposure to large-scale digital transformations and high-impact projects that define the modern economy. If you are a driven professional looking for a stable global stage and the opportunity to work with cutting-edge technologies alongside the worlds most talented consultants this is where you belong.
We are currently searching for a Senior Data Engineer GCP:
Responsibilities
- Support existing Snowflake workflows and operate/stabilize the migrated Big Query workflows.
- Integrate International Paramount logic into Global pipelines to support long-term scalability and standardization.
- Design build and maintain ETL/ELT pipelines that move and transform data across hybrid environments (AWS GCP Snowflake).
- Establish data quality checks validation logic and data reconciliation processes.
- Optimize pipeline runtime compute usage storage tiering and query costs especially in Big Query.
- Create and maintain documentation for the data pipelines built utilizing working knowledge of Git CI/CD and modern DevOps practices.
Requirements
- Bachelors Degree in Computer Science or a related discipline
- 12-15 years overall experience
- 7 -9 years of applicable engineering experience
- GCP Big Query
- Snowflake
- Python
- Airflow
- Composer
- Github
- CICD
- Familiarity with data warehousing concepts star schemas dimensional modeling
- OLTP vs OLAP
- Adobe
- Support existing Snowflake workflows
- Operate and stabilize the migrated Big Query workflows
- Integrate International Paramount logic into Global pipelines to support longterm scalability and standardization Proficiency in Python and SQL
- Familiarity with data warehousing concepts star schemas dimensional modeling OLTP vs OLAP
- Design build and maintain ETL ELT pipelines that move and transform data across hybrid environments AWS GCP Snowflake
- Establish data quality checks validation logic and data reconciliation processes
- Optimize pipeline runtime compute usage storage tiering and query costs especially in Big Query
- create and maintain documentation for the data pipelines built
- Working knowledge of Git CICD and modern DevOps practice
Languages
- Advanced Oral English.
- Advanced Spanish.
Note:
- Fully remote.
If you meet these qualifications and are pursuing new challenges start your application on our website to join an award-winning employer. Explore all our job openings Sequoia Careers Page: Requirements:
Data Engineer AND GCP AND Big Query AND Snowflake AND Python AND Airflow
