
Data Engineering Leadership Opportunity
5 days ago
Job Title: Data Engineering Leader
About the Role:We are seeking an experienced Data Engineering professional to lead our team. The ideal candidate will have 10+ years of experience in data engineering, with 4+ years leading teams.
The successful candidate should possess strong coding expertise in Python, JVM, and Shell scripting with production-grade experience. They should also have a deep understanding of cloud-native, data-intensive applications with AWS expertise.
Must Have Skills & Experience:- 10+ years of experience in data engineering, with 4+ years leading teams.
- Strong coding expertise: Python, JVM, and Shell scripting with production-grade experience.
- 5+ years in cloud-native, data-intensive applications with mandatory AWS expertise.
- Proven experience in data warehouse design & development using modern DW tools.
- Hands-on with Databricks and dbt (mandatory).
- Expert in Airflow (workflow orchestration).
- Strong experience building & maintaining Spark applications.
- Deep understanding of file formats: Parquet, Delta Lake, OTFs.
- Proficiency in building CI/CD pipelines (GitHub Actions, Jenkins, or ArgoCD).
- Solid knowledge of unit testing & test automation frameworks.
- Familiarity with Docker/Kubernetes for containerization.
- Hands-on with IaC tools (Terraform, CDK, or CloudFormation).
- Exposure to observability systems (Datadog, Prometheus, Grafana).
- Lead and mentor a team of engineers.
- Drive client communication, requirement gathering, and roadmap planning.
- Identify risks and provide mitigation strategies.
- Conduct PR reviews & guide best practices.
- Strong documentation & communication skills.
- Proactive, business-value-oriented mindset.
This is a unique opportunity to lead a talented team of engineers, build cutting-edge data platforms, and influence architecture and business-aligned tech roadmaps.
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