Description
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
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 Career’s Page: https://www.sequoia-connect.com/careers/.
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.
