Solution Data Engineer Sr.

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.

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