Senior Data Engineer (Data Bricks)
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Role details
Tech stack
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Job description
- Design, build, and deploy modern cloud-based data platforms on or Databricks
- Lead platform migration efforts to new environments with aggressive delivery timelines
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Implement and optimize solutions using:
- Terraform
- Dataplex
- BigQuery
- Cloud-native data engineering tools
Develop scalable ETL/ELT pipelines and robust data architectures
Drive infrastructure-as-code best practices for cloud resource provisioning
Collaborate with cross-functional teams to ensure smooth deployment and adoption
Troubleshoot performance issues and continuously improve platform reliability
Provide technical leadership and strategic input on platform design decisions
Requirements
Senior Data Engineer to lead critical platform migration initiatives under tight timelines. This role is ideal for engineers who bring deep expertise in Platform and/or Databricks, with proven experience in setting up scalable, production-ready data platforms from the ground up., * 7+ years of experience in Data Engineering / Cloud Data Platforms
- Strong hands-on expertise in or Databricks
- Experience building and migrating enterprise-scale data platforms
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Advanced knowledge of:
- Terraform
- Dataplex
- BigQuery
- Data warehousing / lakehouse concepts
Strong proficiency in Python / SQL
Experience with distributed data processing frameworks
Deep understanding of cloud-native architecture patterns
Ability to work in fast-paced environments with tight deadlines, * Engineers who have built real systems end-to-end
- Professionals who understand the trade-offs of architecture decisions
- Strong ownership mindset with accountability for long-term outcomes
- Opinionated thinkers who can defend decisions, while remaining open to alternative perspectives
- Individuals who learn from what didn t work and apply those lessons forward
Benefits & conditions
Depends on Experience
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