Data Engineer

Thermo Fisher Scientific India

4 - 9 years

16 - 18 Lacs

hyderabad

Posted:1 week ago| Platform:

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Skills Required

computer science gcp pharma healthcare continuous improvement monitoring sql auditing python clinical data

Work Mode

Work from Office

Job Type

Full Time

Job Description

Build and maintain scalable data pipelines to connect systems like LIMS, MES, and EHR.
Integrate and transform structured and unstructured data to enable advanced analytics.
Ensure accuracy and integrity through automated validation, cleansing, and monitoring.
Develop and optimize data architecture, including lakes, warehouses, and marts.
Collaborate with scientists, analysts, and IT to translate business needs into technical designs.
Implement governance frameworks that meet GxP, GCP, and HIPAA standards.
Use cloud platforms (AWS, Azure, or GCP) and orchestration tools (Airflow, dbt, or Spark) to streamline operations.
Document pipelines and maintain clear data lineage for transparency and audit readiness.
Stay current with emerging data technologies to drive continuous improvement.

What You Bring

Bachelor s or Master s degree in Computer Science, Engineering, or a quantitative field.
4+ years of experience as a Data Engineer, preferably in pharma, biotech, or healthcare.
Proficiency in Python, SQL, and cloud data services such as Snowflake, Redshift, or BigQuery.
Familiarity with NoSQL and relational databases and streaming tools like Kafka.
Experience with metadata management, data governance, and security practices.
Strong collaboration and communication skills to work across business and technical teams.

Nice to Have

Experience with ML pipelines and AI integration.
Knowledge of CDISC, SDTM, or other clinical data standards.
Exposure to DevOps, Docker, or Kubernetes.

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