Data Engineer
Data Engineer
We’re looking for a Data Engineer to support large-scale data initiatives in a highly regulated environment. This role centers on building and improving scalable data systems that enable reporting, analytics, and advanced data use cases across the organization.
Key Responsibilities:
Design, build, and maintain scalable data pipelines using modern distributed processing frameworks and Python-based tooling
Develop and enhance ETL/ELT workflows within a cloud-based data platform
Implement data models aligned with contemporary lakehouse design patterns
Ensure reliability, accuracy, and performance across all stages of the data lifecycle
Partner with cross-functional teams to translate business and data requirements into technical solutions
Create reusable, modular components for data transformation and processing
Support automated deployment pipelines using CI/CD and DevOps practices
Monitor, troubleshoot, and optimize data workflows for efficiency and scalability
Contribute to data governance, security, and compliance standards in a regulated setting
Required Experience:
Hands-on experience with modern data platforms and integration tools (e.g., distributed compute engines, ingestion frameworks, or comparable technologies)
Strong background in data architecture, data integration, and data warehousing concepts
Experience developing and deploying custom processing logic in distributed environments
Proficiency in SQL and experience with relational database systems (cloud-hosted or on-prem)
Solid programming skills in Python and experience with large-scale data processing frameworks
Experience building and optimizing data pipelines in cloud environments
Familiarity with both batch and streaming data processing patterns
Core Competencies:
Strong analytical and problem-solving abilities
Comfortable working across cross-functional and distributed teams
Ability to clearly communicate technical concepts to non-technical audiences
Self-starter with a strong sense of ownership and accountability
Focus on delivering reliable, high-quality data solutions
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