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 "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,
start your application on our website
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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. (Tijuana)
🏢 Sequoia Connect
📍 Tijuana