Roche - Principal Data Engineer - AWS Platform

KEY RESPONSIBILITIES :

- Define and drive the future strategy for GenAI and emerging technologies to uncover hidden patterns and drive decision-making across diagnostic products.

- Design, implement, and optimize data architectures using AWS services, ensuring seamless integration and high performance.

- Drive the design and development of efficient data processing workflows using PySpark, SparkSQL, SQL, and modern formats like Iceberg and Parquet.

- Optimize the performance, scalability, and cost efficiency of data infrastructure and AWS service consumption.

- Provide technical direction and mentorship to a team of developers, enforcing code quality standards and best practices for testing and CI/CD.

- Collaborate closely with engineering and business stakeholders to translate complex requirements into impactful data-driven solutions.

- Advocate for data security, governance, and compliance, ensuring all products are compliant with HIPPA, GDPR etc.

REQUIRED EXPERIENCE, SKILLS & QUALIFICATIONS :

- Minimum 8 to 15 years of hands-on data engineering experience, including significant leadership in technical projects.

- Expert-level proficiency in AWS services including S3, Redshift, Glue, Athena, EMR, Step Functions, and MWAA.

- Mastery of Python, SQL, and data processing frameworks such as Apache Spark.

- Proven experience with Dimensional Modeling, Data Partitioning, and Infrastructure as Code using Terraform.

- Demonstrated ability to provide technical direction, guide architectural decisions, and mentor cross-functional teams.

- Excellent skills in bridging the gap between business needs and technical implementation for both technical and non-technical audiences.

DESIRED EXPERIENCE, SKILLS & QUALIFICATIONS :

- Experience in the Healthcare Laboratory domain and familiarity with regulations like HIPAA, HL7, and FHIR is a significant plus.

- Hands-on experience implementing GenAI and Machine Learning technologies within a SaaS or Cloud application environment.

- Experience in designing and implementing large-scale Data Lakes and Data Warehouses with a focus on long-term scalability.

WHY JOIN US?

- Collaborative Culture : Engage with a diverse team of talented professionals.

- Innovative Environment : Work on cutting-edge SaaS products and define the future of diagnostic data.

- Growth Opportunities : Take on challenging projects that offer continuous learning and career development.

EDUCATION :

- Bachelors or Masters degree in Engineering.