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/

Keywords:
Data Engineer, Databricks, Unity Catalog, Delta Lake, PySpark, Snowflake, Adobe Analytics, Airflow, Python, SQL, AWS Glue, Athena, BigQuery, Redshift, Data Governance, ETL.

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