At

Sequoia Connect , we are a

Talent-First Technology Ecosystem

that redefines how elite professionals interact with the general 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:
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 .

📌 Solution Data Engineer Sr. (Ciudad de México)
🏢 Sequoia Connect
📍 Ciudad de México