Senior Data Engineer – GCP - LTI

DescriptionAt 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 90,000+ 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 world’s 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 Career’s Page: Requirements 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 Originally posted on Himalayas