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 \"RiseTM.\" 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,

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Sequoia Career's Page : 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 .