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Agilisium
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Senior Azure Data Engineer

Senior Azure Data Engineer

Agilisium

0 years

0 Lacs

saidapet chennai tamil nadu

Posted:1 day ago| Platform: Indeed logo

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Skills Required

azure data engineering pyspark databricks analytics design etl research scalability apache spark aws governance checks logging reliability gcp redshift collaboration workflow orchestration airflow healthcare compliance

Work Mode

On-site

Job Type

Full Time

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

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.

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