Databricks Engineer Sr
Share
Job Location:
Mexico City - Mexico
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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: Requirements: Requirements:
Databricks Data Engineer PySpark Spark Delta Lake ETL ELT Data Pipeline Unity Catalog Data Governance Data Architecture SQL Python Performance Tuning Big Data.
