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 163,000 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

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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.