The Sr Data Engineer will design, build, maintain, analyze, and interpret data to provide actionable insights that drive business decisions. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes.
Requirements
- Design, develop, and maintain data solutions for data generation, collection, and processing
- Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
- Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
- Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
- Implement data security and privacy measures to protect sensitive data
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Design and develop data pipelines leveraging Databricks, PySpark, and SQL to ingest, transform, and process large-scale datasets
- Engineer solutions for both structured and unstructured data to enable advanced analytics and insights
- Implement automated workflows for data ingestion, transformation, and deployment using Databricks Jobs and notebooks, with ongoing monitoring and scheduling
- Apply performance optimization techniques, including Spark job tuning, caching, partitioning, and indexing, to improve scalability and efficiency
- Build integrations with multiple data sources, such as SQL databases, APIs, and cloud storage platforms, ensuring seamless connectivity and reliability
- Collaborate effectively with global teams across time zones to maintain alignment, resolve issues, and deliver on shared objectives
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Health Insurance
- Dental Insurance
- Vision Insurance
