Data Engineer Lead

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 Data Engineer Lead:

Our Client is looking for a Lead Data Engineer who will help in implementing data analytics products using on-prem and cloud data platforms.

The Challenge (Responsibilities)

• Design and build scalable cloud-native data platforms for modern data engineering practices.
• Mentor and guide other engineers sharing knowledge reviewing code and fostering a culture of curiosity growth and continuous improvement.
• Create robust maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases.
• Lead by examplewrite high-quality testable code and participate in architecture and design discussions with a long-term view in mind.
• Decompose complex problems into modular efficient and scalable components that align with platform and product goals.
• Support data governance and quality efforts ensuring data lineage cataloging and access management are built into the platform.
• Participate in architectural discussions iteration planning and feature sizing meetings.

Your Profile (Requirements)

• Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).
• High proficiency in using Python Spark Hadoop platforms & tools (Hive Impala Airflow NiFi) SQL to build Big Data products.
• Hands-on experience with cloud data platforms such as databricks snowflake (databricks preferred).
• Experience with orchestration/integration tools such as Apache Airflow Apache NiFi or Talend.
• Working knowledge of DevOps/CI-CD practices: version control (Git) automated testing release pipelines and observability.
• Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.
• High-Performance Mindset: Resilience emotional intelligence and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between coding and engineering.

Desired

• Experience developing Java based applications.
• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.
• Advanced Spanish.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

• 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:
Python Spark Hadoop Databricks Airflow

Requirements:

• Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).
• High proficiency in using Python Spark Hadoop platforms & tools (Hive Impala Airflow NiFi) SQL to build Big Data products.
• Hands-on experience with cloud data platforms such as databricks snowflake (databricks preferred).
• Experience with orchestration/integration tools such as Apache Airflow Apache NiFi or Talend.
• Working knowledge of DevOps/CI-CD practices: version control (Git) automated testing release pipelines and observability.
• Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.