Solution Data Engineer Sr.

Description 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 inner circle, 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 IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing. This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong. We are currently searching for a Solution Data Engineer Sr: Responsibilities: Full management of the Databricks environment , including configuration and workspace administration. Implement data governance using Unity Catalog and manage structured storage with Delta Lake tables . Write and optimize data processing logic using Python, SQL, and PySpark . Manage data architecture and performance within Snowflake . Handle Adobe Data Feeds and Adobe Analytics , ensuring correct ingestion and transformation of marketing data. Oversee data warehousing operations in Amazon Redshift . Schedule and monitor complex data workflows using Airflow . Own end-to-end maintenance of data pipelines , ensuring reliability from ingestion to delivery across multiple cloud platforms. Manage code lifecycle and collaborative development using Git . Requirements: Advanced proficiency in the Databricks Ecosystem (Workspace admin, Delta Lake, Unity Catalog). Expertise in Data Warehousing & Integration , specifically with Snowflake . Strong development skills in Python, SQL, and PySpark. Hands-on experience with Adobe Data Ingestion (Data Feeds/Analytics). Solid experience in version control using Git . Desired: Experience with Amazon Redshift for data warehousing operations. Proficiency in orchestration tools , specifically Airflow . Familiarity with Google Cloud Platform (BigQuery) operations. Knowledge of AWS Data Services such as Athena and AWS Glue . 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 : https://www.sequoia-connect.com/careers/ Requirements Requirements: Advanced proficiency in the Databricks Ecosystem (Workspace admin, Delta Lake, Unity Catalog). Expertise in Data Warehousing & Integration , specifically with Snowflake . Strong development skills in Python, SQL, and PySpark. Hands-on experience with Adobe Data Ingestion (Data Feeds/Analytics). Solid experience in version control using Git . Experience with Amazon Redshift for data warehousing operations. Proficiency in orchestration tools , specifically Airflow . Familiarity with Google Cloud Platform (BigQuery) operations. Knowledge of AWS Data Services such as Athena and AWS Glue .