Data Engineer

Agilisium

2 - 7 years

8 - 18 Lacs

hyderabad pune chennai

Posted:4 days ago| Platform:

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Skills Required

pyspark python sql azure data factory data modeling aws data bricks

Work Mode

Work from Office

Job Type

Full Time

Job Description

Introduction to the Role:

Python

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 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 or 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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