Data Engineer

We are looking for an experienced Clinical Data Engineer to join our client's growing Clinical Data Sciences team. The ideal candidate will have strong expertise in building scalable clinical data pipelines, cloud-based data engineering solutions, and integrating heterogeneous clinical trial data sources.

Hiring | Clinical Data Engineer Clinical Data Sciences

Location: PAN India

Experience: 8+ Years

Industry: Pharma / Clinical Research / Healthcare / Life Sciences

Key Responsibilities:

Design, develop, and maintain scalable ETL/ELT pipelines for clinical trial data

Integrate data from EDC, IRT, ePRO, eCOA, APIs, and other clinical systems

Build reusable data transformation frameworks, libraries, and templates

Work with cloud platforms such as AWS, Azure, or GCP

Manage data lakes/data warehouses using Databricks, Snowflake, Redshift, etc.

Ensure data quality, integrity, compliance, and process optimization

Collaborate with Clinical Data Management, SDTM, Statistical Programming, Analytics, and IT teams

Develop dashboards, KPIs, visualizations, and automation solutions

Required Skills:

Strong hands-on experience in Python/R, SQL, NoSQL

Expertise in ETL/ELT pipeline development and cloud data engineering

Experience with Apache Spark, Databricks, Snowflake, Hadoop

Knowledge of APIs, XML, JSON, and clinical data workflows

Experience with GitHub/GitLab, Jenkins, CI/CD pipelines

Strong stakeholder management and problem-solving skills

Preferred:

R Shiny or Python App development experience

Agile methodology exposure

Clinical/Healthcare domain experience preferred