Senior Databricks Engineer
2 days ago
Key Responsibilities:
- Execution of critical improvements to our databricks based data platform to improve overall system usability, improve data observability, and reduce costs.
- Support and maintain existing data systems ensuring high system health & usability with improved support to our global teams.
- Provide expertise and support on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions.
- Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
- Build robust CD/CI for our platforms to ensure deployment time is reduced to unlock solutions teams' velocity.
What We’re Looking For:
- Strong technical communication - ability to break down complex technical components for technical and drive solution resolution and develop documentation for streamlined use.
- Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML.
- Experience using infrastructure as code (Terraform) in production settings and designing improvements to simplify infrastructure deployments.
- 2+ years of experience building and or supporting Databricks based data platforms; 5+ years of experience building or supporting modern Data Platform stacks with hands on experience optimizing data warehouses & workloads at scale. (Snowflake, Spark, and AWS experience preferred)
It’s a Plus if You Have…
- Experience with MLOps and/or developing and maintaining machine learning models and infrastructure; especially using Databricks.
- Experience designing and supporting multi-cloud architectures. (particularly for ML / AI systems)
- Experience with data visualization tools and analytics technologies. (Looker, Tableau, etc.)
- Degree in Computer Science, Engineering, or related field.
- Experience working within the constraints of HIPAA and data access limitations.
- Interest in mentoring and supporting new developers.
For this role, candidates need to work in the PST time zone (02:30 PM - 11:30 PM) and Work from the Office (3 Days from the office and 2 Days from Home) (Noida).
Interested Candidates can directly share their resumes at
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