Databricks Engineer Sr

Our client represents the connected world offering innovative and customer-centric information technology experiences enabling Enterprises Associates and Society to Rise.

They are a USD 6 billion company with 163000 professionals across 90 countries helping 1279 global customers including Fortune 500 companies. They focus on leveraging next-generation technologies including 5G Blockchain Metaverse Quantum Computing Cybersecurity Artificial Intelligence and more on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the 2021 Global 100 Most sustainable corporations in the World by Corporate Knights.

We are currently searching for a Databricks Engineer Sr:

Responsibilities:

• Develop and fine-tune data processing pipelines specifically within the Databricks ecosystem.
• Implement performance optimization techniques to ensure efficient data flow and processing speeds.
• Integrate data solutions by collaborating closely with data science and analytics teams.
• Support data architecture initiatives that leverage Databricks technologies and scalable cloud structures.
• Resolve operational and performance issues providing high-level support to maintain system reliability.
• Establish and enforce data governance and security protocols to ensure regulatory compliance.
• Lead knowledge transfer sessions documenting technical processes and training team members on best practices.

Requirements:

• Proven experience as a Senior Data Engineer with a focus on Databricks.
• Expertise in developing and optimizing complex data pipelines (ETL/ELT).
• Strong understanding of data architecture and integration with analytics/data science workflows.
• Solid knowledge of data governance security protocols and compliance standards.
• Proficiency in troubleshooting and resolving critical performance bottlenecks in distributed systems.
• Excellent communication skills for technical documentation and team mentorship.

Desired:

• Experience with Spark (PySpark/Scala) optimization.
• Familiarity with Unity Catalog for governance and security.
• Knowledge of Delta Lake architecture and implementation.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• On-site Hybrid Fully remote Temporarily remote due to COVID-19 Work-from-home flexibility. <-- Select only one

If you meet these qualifications and are pursuing new challenges Start your application to join an award-winning employer. Explore all our job openings Sequoia Careers Page:
Databricks Data Engineer PySpark Spark Delta Lake ETL ELT Data Pipeline Unity Catalog Data Governance Data Architecture SQL Python Performance Tuning Big Data.

Requirements:

Requirements:

• Proven experience as a Senior Data Engineer with a focus on Databricks.
• Expertise in developing and optimizing complex data pipelines (ETL/ELT).
• Strong understanding of data architecture and integration with analytics/data science workflows.
• Solid knowledge of data governance security protocols and compliance standards.
• Proficiency in troubleshooting and resolving critical performance bottlenecks in distributed systems.
• Excellent communication skills for technical documentation and team mentorship.