adyar chennai tamil nadu biomedical engineer Jobs – 22 Open Jobs Today

Senior Azure Data Engineer
Agilisium —Saidapet, Chennai, Tamil Nadu
- Full-time
- Azure
- Research
- SQL
Sales Engineer
Cyrix Healthcare Pvt Ltd —Chennai, Tamil Nadu
- Up to ₹12,00,000 a year
- Full-time
- English
- Bachelor's degree
- Travel
- Health insurance
- Paid sick time
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Biomedical Assistant
Centre point soft tech pvt ltd —Chennai, Tamil Nadu
Perform laboratory tests, analyses and experiments. Maintain and use laboratory equipment. Keep accurate records of test results.
₹18,086.00 - ₹33,055.59 a month
Quick apply
Senior Lab Technician
SreeniRam Hospital —Sriperumbudur, Tamil Nadu
Equipment ManagementOperate and maintain lab equipment (analyzers, centrifuges, microscopes, etc.). Maintain strict adherence to *infection control and…
₹18,000 - ₹25,000 a month
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Senior Azure Data Engineer

Agilisium -
Saidapet, Chennai, Tamil Nadu

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Job details

Full-time

Qualifications

Data modeling
Cloud infrastructure
Azure
Spark
Research
SQL
AWS
Redshift

Full job description

Job Information

Date Opened

09/08/2025

City

Saidapet

Country

India

Job Role

Data Engineering

State/Province

Tamil Nadu

Industry

IT Services

Job Type

Full time

Zip/Postal Code

600096

Job Description

Introduction to the Role

We are looking for a Data Engineer (Life Sciences/Biomedical domain) with strong expertise in PySpark, Databricks, and SQL. The role involves building scalable data pipelines, integrating complex biomedical datasets, and enabling advanced analytics for genomics, clinical trials, and research.

Accountabilities

Design and build ETL/ELT pipelines to ingest, transform, and load data from clinical, omics, research, and operational sources.
Optimize performance and scalability of data flows using Apache Spark, Databricks, or AWS Glue.
Collaborate with domain experts in genomics, clinical trials, and lab science to implement robust data solutions.
Develop and maintain data models, schemas, and governance practices for structured and unstructured biomedical data.
Implement data quality checks, lineage, logging, and alerts to ensure reliability and reproducibility.
Work with cloud infrastructure teams to deploy pipelines on AWS, GCP, or Azure.
Contribute to data lake/warehouse solutions (Snowflake, Redshift, Synapse).

Essential Skills / Experience

Strong experience with PySpark, Databricks, and SQL.
Proven expertise in building ETL/ELT pipelines for large-scale datasets.
Experience with cloud platforms (AWS, GCP, Azure).
Solid knowledge of data modelling, schemas, and governance.
Hands-on experience with data lake/warehouse technologies (Snowflake, Redshift, Synapse).
Strong problem-solving and collaboration skills.

Desirable Skills / Experience

Experience working with clinical, genomics, or biomedical data.
Familiarity with data quality frameworks and reproducibility practices.
Exposure to workflow orchestration tools (Airflow, Prefect, dbt).
Understanding of research informatics and healthcare compliance standards.

About Agilisium:

Agilisium is a Life Sciences Industry’s Premier Autonomous Agentic AI Services Company for “Reimagining, developing, and co-developing AI-engineered business processes that are autonomous, scalable, and built for Life Sciences.”

Agilisium delivers AI services for life sciences, helping pharma reimagine how therapies are discovered, developed, and delivered. We build domain-infused, agentic AI solutions across R&D, Clinical, and Commercial to automate workflows and enhance oversight.

Everest Group – Recognized as a Leader in Life Sciences Digital Services for the Mid-Market
Inc. 5000 – Featured among the fastest-growing companies in the U.S. for 9 consecutive years
AWS Advanced Consulting Partner – one of the Top 13 companies globally to hold both GenAI and Life Sciences Competency Badges
Recognized by AIM Research as one of the top companies for women in tech to work for.
Trusted by Fortune 500 Pharma – Partnering with several Top 10 global Life Sciences companies

Agilisium continues to invest in top-tier talent to fuel innovation, scalability, and impact across the Life Sciences value chain

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