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About the Role
The Senior Data Engineer will design, build, and operate scalable, secure, and high-performance data platforms. This role involves critical data pipelines and architectures powering analytics, reporting, and advanced data use cases like machine learning and real-time insights. The candidate will collaborate with analytics, data science, product, and business teams, mentor engineers, and drive engineering best practices. The role combines technical leadership, architecture ownership, and business impact.
Responsibilities
- Designing, building, and operating scalable, secure, and high-performance data platforms
- Developing critical data pipelines and architectures
- Collaborating with analytics, data science, product, and business teams
- Mentoring junior and mid-level engineers
- Driving engineering best practices across the data organization
Requirements
- Strong hands-on experience with Azure Data Lake Gen2, Synapse, Databricks
- Solid experience in PySpark / Spark SQL, Databricks performance tuning & job optimization
- Proficient in Complex SQL (window functions, CTEs, execution plans)
- Strong understanding in mentoring junior and mid-level engineers
- Strong understanding in communicating trade-offs to architects and product teams
- Experience working with Azure DevOps or GitHub Actions
- Experience with Streaming & Real-Time Data Processing on Designing low-latency pipelines
- Exposure to Data Governance & Metadata Management in Data classification & sensitivity labels
- Familiarity with Advanced Python Engineering Practices on Performance-aware Python design
- Experience working in Analytics & BI Awareness
- Knowledge of Cloud Cost Optimization & FinOps
Skills
- Azure Data Lake Gen2
- Synapse
- Databricks
- PySpark
- Spark SQL
- Databricks performance tuning
- Job optimization
- Complex SQL
- Window functions
- CTEs
- Execution plans
- Mentoring
- Communication
- Azure DevOps
- GitHub Actions
- Streaming
- Real-Time Data Processing
- Low-latency pipelines
- Data Governance
- Metadata Management
- Data classification
- Sensitivity labels
- Advanced Python Engineering Practices
- Performance-aware Python design
- Analytics
- BI Awareness
- Cloud Cost Optimization
- FinOps
Experience Level
- Senior