Data Modeler / Data Engineer

Looking for Immediate joiners - From 5+ to 7 yrs :-

Key Responsibilities:

Design and implement conceptual, logical, and physical data models aligned with business and regulatory requirements.

Develop and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration across systems.

Collaborate with DevOps, BI, and application teams to ensure data consistency and availability.

Ensure data quality, integrity, and compliance with GMP/GxP standards.

Work with Oracle databases, cloud platforms, and other data sources to support analytics and reporting.

Optimize data workflows for performance, scalability, and maintainability.

Participate in customer interviews and contribute to solution design and delivery.

Required Skills:

Strong experience in data modeling (dimensional, relational, and NoSQL).

Proficiency in data engineering tools and languages (e.g., SQL, Python, Spark, etc.).

Experience working in GMP/GxP-compliant environments (preferably in healthcare or life sciences).

Hands-on experience with Oracle databases and data integration tools.

Familiarity with DevOps practices and CI/CD pipelines.

Strong understanding of data governance, metadata management, and data lifecycle.

Preferred Qualifications:

Experience in healthcare or pharmaceutical domains.

Knowledge of cloud data platforms (e.g., Azure, AWS, GCP).

Exposure to Power BI or other BI tools is a plus.

Certification in data engineering or related technologies is an advantage.

If interested, please share the resume to along with below required details.

Experience -

CTC-

Notice Period-

Native -

Current Location -

Regards

PrasenakumarGP

Note - **Irrelevant profiles will not be considered for this opportunity.