Senior Data Engineer (Data Bricks)

SRS Consulting Inc
United States
19 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

BigQuery Cloud Engineering Data Architecture Information Engineering Extract Transform Load (ETL) Data Warehousing Distributed Computing Environment Python (Programming Language) Performance Tuning Cloud Services SQL Databases Data Management
+3 more
Terraform Data Pipelines Databricks

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
  • 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
  • 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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