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Thermo Fisher Scientific logo
Thermo Fisher Scientific

Thermo Fisher Scientific is a global biotechnology product development company whose mission is to make the world healthier, cleaner, and safer. Thermo Fisher Scientific leads a gl

Senior Databricks Engineer

Location

North Carolina

Posted

86 days ago

Salary

0

Seniority

Senior

Bachelor Degree8 yrs expExperience acceptedEnglishApacheAWSAzureCloudCyber SecurityERPETLGoogle Cloud PlatformSparkSQLUnity

Job Description

Senior Databricks Engineer

Thermo Fisher Scientific

• Architect, build, and optimize data solutions that support Thermo Fisher Scientific’s digital transformation strategy. • Build connections and workflows within cloud-based systems. • Engineer robust data solutions to integrate enterprise data sources, including ERP, CRM, laboratory, and manufacturing systems. • Develop reusable frameworks and templates to accelerate data delivery and ensure consistency across domains. • Implement and maintain high-performance data connections across Databricks, Snowflake, and Iceberg environments. • Author and optimize complex SQL queries, transformations, and data models for analytics and reporting use cases. • Support data Lakehouse and data mesh initiatives to enable seamless access to trusted data across the organization. • Apply data governance, lineage, and security controls using Unity Catalog, Delta Live Tables, and related technologies. • Partner with compliance and cybersecurity teams to uphold data privacy, GxP, and regulatory standards. • Establish monitoring, auditing, and optimization processes for ongoing data quality assurance. • Collaborate with data scientists, architects, and business partners to build and implement end-to-end data solutions. • Serve as a technical mentor and leader within the CRG data engineering community.

Job Requirements

  • Bachelors degree or equivalent
  • Minimum of 8 years professional experience in data engineering or data platform development is required.
  • Minimum of 5 years of hands-on experience with Databricks and Apache Spark in production environments is required.
  • Demonstrated expertise with Snowflake and Apache Iceberg is required.
  • Strong proficiency in SQL and experience optimizing queries on large, distributed datasets is required.
  • Proven experience with cloud-based data platforms (Azure preferred; AWS or GCP acceptable) is required.
  • Strong understanding of data modeling, ETL/ELT pipelines, and data governance practices is required.
  • Experience implementing Unity Catalog or CI/CD pipelines for data workflows is preferred.
  • Experience in life sciences, biotech, or manufacturing environment is preferred.
  • Strong interpersonal and communication skills with ability to collaborate across global and multi-disciplinary teams is preferred.

Benefits

  • Relocation assistance is NOT provided.
  • Must be legally authorized to work in the United States without sponsorship.
  • Must be able to pass a comprehensive background check, which includes a drug screening.

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