2 дня назад
Senior Data Engineer (Databricks/AWS)
130 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Databricks/AWS): Building and optimizing ETL pipelines, data marts, and lakehouse architectures for enterprise analytics, reporting, and business intelligence with an accent on scalable data processing, data modeling, and cloud-native platforms. Focus on designing medallion architectures, tuning SQL and pipeline performance, integrating downstream systems, and maintaining governed data products.
Location: Duluth, Georgia, United States
Salary: $130,000–$135,000 per year
Company
is a large financial services company recognized as a leading workplace for employee excellence and diversity.
What you will do
- Design, develop, and maintain scalable ETL processes and data architecture for analytics, reporting, dashboards, and business intelligence.
- Own the end-to-end development and maintenance of data marts, metadata, data models, and data products.
- Develop and enhance lakehouse and medallion architectures in Databricks and AWS environments.
- Integrate data solutions with applications and downstream systems while maintaining code artifacts in version control.
- Participate in Agile and Scrum processes and use AI tools such as GitHub Copilot for prototyping and development.
- Mentor junior engineers through best-practice guidance, code reviews, and effective Jira usage.
Requirements
- Bachelor’s degree in Information Technology, Computer Science, Engineering, or equivalent practical experience.
- At least five years of IT experience with strong hands-on experience in data engineering and enterprise data solutions.
- Advanced Databricks experience, including notebooks, workflow and job orchestration, data operations, infrastructure as code, cluster management, and scalable data processing.
- Experience with AWS services including S3, EC2, Lambda, and IAM.
- Strong Python and SQL programming skills, including advanced SQL query tuning and performance optimization.
- Advanced database modeling knowledge with IBM DB2, Databricks, MongoDB, and SQL Server, plus experience with data governance platforms such as Collibra.
Nice to have
- Experience with Kafka, AWS Kinesis, Power BI, Tableau, data virtualization, Kubernetes, or Terraform.
- Experience creating test data for lower environments and using GitHub Copilot, Claude Code, or similar AI tooling.
- Knowledge of Palantir and experience working with analysts and business stakeholders.
Culture & Benefits
- Health, dental, and vision insurance from day one.
- 401(k) plan with an employer match.
- Vacation, sick, holiday, and volunteer time off.
- Life and disability insurance, plus flexible spending and health savings accounts.
- Professional development, tuition reimbursement, and company-sponsored social and philanthropy events.
- Employment sponsorship is not available now or in the future.
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