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, start your application on our website to join an award-winning employer.
Explore all our job openings | Sequoia Career's Page : / 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 .
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