Senior Data Platform Engineer - Databricks & Azure
United Global Technologies
Houston (TX)
On-site
USD 120,000 - 150,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
A leading technology firm in Houston is seeking a deeply technical Data Engineer to enhance a large-scale cloud data platform. Responsibilities include diagnosing performance issues, optimizing architecture, and mentoring junior engineers. Candidates should possess deep knowledge of Databricks, strong Python expertise, and advanced SQL skills. This hands-on role requires the ability to analyze complex data pipelines and propose improvements. The ideal candidate thrives in a collaborative environment and is comfortable tackling ambiguous challenges.
Qualifications
Strong technical depth and hands-on individual contributor ability.
Ability to analyze pipelines end-to-end.
Comfortable challenging Databricks as a product.
Responsibilities
Diagnose performance, latency, and cost issues in cloud data platforms.
Propose and prove better approaches via POCs.
Collaborate with and mentor other data engineers.
Skills
Deep understanding of Databricks internals
Performance tuning and optimization
Strong Python
Advanced SQL
PySpark (advanced)
Tools
Qlik Replicate
Azure Data Lake Storage
Databricks
Job description
A leading technology firm in Houston is seeking a deeply technical Data Engineer to enhance a large-scale cloud data platform. Responsibilities include diagnosing performance issues, optimizing architecture, and mentoring junior engineers. Candidates should possess deep knowledge of Databricks, strong Python expertise, and advanced SQL skills. This hands-on role requires the ability to analyze complex data pipelines and propose improvements. The ideal candidate thrives in a collaborative environment and is comfortable tackling ambiguous challenges.