Data Engineer role at DyFlex Solutions, designing enterprise - scale data solutions for client projects using cloud and modern frameworks. Hands - on technical delivery combined with client - facing consulting in a hybrid work setup.
About the role
- Lead Data Engineer designing and maintaining data platforms for innovative healthcare solutions. Collaborating with cross-functional teams to drive impactful healthcare outcomes.
Responsibilities
- Own the architecture and evolution of the data platform, based on business needs and considering trade-offs in timelines, cost, and resources
- Define and enforce standards for code development, contribution, and deployment for data engineering workflows.
- Oversee integrations with external services, including data ingestion, distribution, and service-to-service data flows.
- Contribute hands-on to data transformations and optimizations
- Establish security, governance, and operational best practices for the data platform in collaboration with security and enterprise data engineering teams.
- Curate and develop datasets needed to support Data org project deliverables
- Collaborate with cross-functional partners in engineering, design, and product to develop solutions
- Generate and prioritize new opportunities for improvements
- Provide build vs buy assessments and recommendations as the platform expands
Requirements
- Deep hands-on expertise in designing, coding, developing, and maintaining data platforms that support data analytics and data science use cases
- Proven ability to design, develop and implement robust data ingestion pipelines (ETL) from external sources into a data platform.
- Experience establishing standards for code development, deployment, and contributions in a data engineering environment.
- Ability to solicit and translate customer and business needs into requirements and an evaluation framework
- Interest in improving healthcare and working with interdisciplinary project teams
- Clear communication and presentation skills
- Experience with Databricks
- Expertise in data platform languages such as python, pyspark and SQL
- + 5-10 years of industry experience with technical lead experience of running a data platform for business operations
Benefits
- health insurance
- life insurance
- retirement benefits
- participation in the company’s equity program
- paid time off, including vacation and sick leave
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