Senior Clinical Data Engineer, Chennai, Tamil Nadu

Zifo Technologies Inc.; Chennai; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Zifornd in Chennai seeks an experienced Senior Clinical Data Engineer to design, build, and manage scalable data pipelines for clinical trials.

You will own end-to-end ingestion, integration, transformation, and delivery of clinical data from multiple sources into data lakes and data warehouses on AWS.

Collaborate with clinical data teams, analytics, and downstream consumers to ensure data reliability, traceability, and high quality, in line with SDLC standards.

Qualifications

• Bachelor's degree in CS/IT/Engineering/Life Sciences or related discipline.
• 5+ years of experience in Data Engineering or related role.
• Strong hands-on programming experience with Python and SQL.
• Hands-on experience with AWS cloud platform.
• Experience designing and deploying production-grade ETL/ELT data pipelines in cloud environments.
• Hands-on experience with Spark.
• Experience with Apache Airflow.
• Experience with data lakes and cloud data warehouses (Snowflake/Redshift).
• Strong understanding of database concepts, data modeling, and data integration.
• Experience handling JSON and XML.
• Experience building or consuming REST APIs.
• Familiarity with GitLab/GitHub and CI/CD.
• Strong understanding of SDLC.

Responsibilities

• Design, build, and manage scalable data pipelines for clinical trials.
• Ingest, integrate, transform, and deliver clinical data from multiple sources into enterprise data platforms (data lakes/warehouses).
• Collaborate with clinical data teams, analytics, and downstream consumers to ensure data reliability, traceability, and quality.
• Ensure data is ready for analysis and regulatory/compliance needs.
• Apply SDLC practices and CI/CD in deployment.

Skills

Python

SQL

ETL/ELT pipelines

Apache Spark

Apache Airflow

REST APIs

JSON

XML

GitLab/GitHub

SDLC

Data quality

Data modeling

Cross-functional collaboration

Communication

Education

BE/BTech/BS/BA in CS/IT/Engineering/Life Sciences

Tools

AWS

Snowflake

Amazon Redshift

REST APIs

JSON

XML

GitLab/GitHub

Job description

We are looking for an experienced Senior Clinical Data Engineer to design, build, and manage scalable data pipelines supporting clinical trials.

In this role, you will be responsible for the end-to-end ingestion, integration, transformation, and delivery of clinical data from multiple source systems into enterprise data platforms such as data lakes and data warehouses. You will work closely with clinical data teams, analytics teams, and other downstream consumers to ensure that clinical data is reliable, traceable, high quality, and ready for use.

• Bachelor's degree (BE/BTech/BS/BA) in Computer Science, Information Technology, Engineering, Life Sciences, Health Sciences, or a related discipline.
• 5+ years of experience in Data Engineering, Software Engineering, or a related technology role.
• Strong hands-on programming experience with Python and SQL.
• Hands-on experience with AWS cloud platform.
• Experience designing and deploying production-grade ETL/ELT data pipelines in cloud environments.
• Hands-on experience with distributed/big-data processing technologies such as Apache Spark.
• Experience with workflow orchestration and scheduling using Apache Airflow.
• Experience working with data lakes and/or cloud data warehouses, such as Snowflake or Amazon Redshift.
• Strong understanding of database concepts, data modeling, data integration, and large-scale data processing.
• Experience handling semi-structured data formats such as JSON and XML.
• Experience building or consuming REST/API-based integrations.
• Familiarity with source control and CI/CD tools such as GitLab/GitHub.
• Strong understanding and practical application of the Software Development Life Cycle (SDLC).

Clinical Domain Experience

• Experience working with clinical trial data and clinical data workflows.
• Familiarity with clinical systems and data sources such as EDC/eCRF, CTMS, and other clinical trial source systems.
• Ability to understand study-level data requirements and translate them into scalable technical solutions.
• Experience coordinating or supporting study-level data transfer and integration specifications is preferred.
• Understanding of data quality, traceability, validation, and regulatory expectations within a clinical environment is highly desirable.

Key Competencies

• Strong analytical and critical-thinking skills.
• Excellent problem-solving and troubleshooting abilities.
• Ability to independently own technical deliverables while working effectively within cross-functional teams.
• Strong communication skills with the ability to collaborate with both technical and clinical stakeholders.
• Ability to understand complex data requirements and translate them into practical engineering solutions.
• Strong focus on data quality, reliability, scalability, and automation.
• Ability to manage priorities and deliver within clinical study timelines.

Technology Landscape

Programming: Python (Advanced)
Big Data: Apache Spark
Orchestration: Apache Airflow
Cloud: AWS
Data Platforms: Amazon Redshift / Data Lakes
Databases: SQL
Data Integration: REST APIs, JSON, XML, file-based integrations
DevOps: GitLab / GitHub, CI/CD
Clinical Systems: EDC/eCRF, CTMS, clinical source systems