The Role
Architects and operates large-scale distributed data platforms using Databricks and Spark. Responsibilities include designing Databricks deployments, optimizing Spark and Delta Lake workloads, implementing Infrastructure as Code, leading incident response, and establishing performance standards. The role requires production ownership and experience with data or cloud engineering, Databricks, Spark, and Infrastructure as Code. Streaming architecture, AI/ML workload enablement, and FinOps cost optimization are advantageous.
Summary Generated by Built In
Role: Senior Data Engineer (Databricks)
Experince: 7+ Yrs
Location: Hyderabad
The Role
Architect and operate large-scale distributed data platforms using Databricks and Spark.
What You Will Do
Architect Databricks deployments
Optimize Spark and Delta Lake workloads
Implement Infrastructure as Code
Lead incident response
Drive performance standards
What You Will Have
6+ years of data or cloud engineering experience
2+ years operating Databricks in production
2+ years working with Spark
2+ years implementing Infrastructure as Code
Production ownership experience
What Will Set You Apart
Streaming architecture experience
AI/ML workload enablement
FinOps cost optimization expertise
Skills Required
- 7+ years of data or cloud engineering experience
- 2+ years operating Databricks in production
- 2+ years working with Apache Spark
- 2+ years implementing Infrastructure as Code
- Production ownership experience
- Streaming architecture experience
- AI/ML workload enablement experience
- FinOps cost optimization expertise
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
