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 1200 global customersincluding several Fortune 500 companiesto Rise. With a massive network of 163000 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 Careers Page:
Data Engineer Databricks Unity Catalog Delta Lake PySpark Snowflake Adobe Analytics Airflow Python SQL AWS Glue Athena BigQuery Redshift Data Governance ETL.

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.