Senior Solution Data Engineer - Sequoia Connect

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 R