Data Platform Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop and operate robust data pipelines and a data lake/lakehouse foundation for laboratory and operational data to enable digital transformation.
Automate data preparation, Power BI reporting, and workflow automation to improve laboratory efficiency and reduce manual processes.
Support AI/ML applications, including preparing datasets and integrating intelligent automation to enable AI-assisted lab operations.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Information Technology, Engineering, or related field.
5–10 years of experience in data engineering, analytics engineering, integration engineering, or closely related discipline.
Strong skills in SQL, Python, ETL/ELT pipeline design and maintenance, cloud data platforms/data lake or lakehouse architectures, Power BI, REST APIs, and production support.
Work Location: Bangalore, Hybrid work mode, Shift: 12:00 PM to 9:00 PM IST.
Ideal Candidate Profile
Experienced data engineer with strong fundamentals capable of building end-to-end lab-focused data solutions involving integrations and automation.
Comfortable working at the intersection of data engineering, digital laboratory systems, AI/ML, and workflow automation in a regulated environment.
Able to translate laboratory and business process requirements into scalable, reliable technical solutions with attention to data quality and production support.