5 - 8 years

1 Lacs

Bengaluru / Bangalore, Karnataka, India

Posted:3 days ago| Platform: Foundit logo

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Skills Required

Big Data & DICOM

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description: We are seeking a highly skilled Data Manager with strong Python programming expertise and extensive experience in data engineering . This role involves supporting data preparation, curation, ingestion, and processing activities, with a particular focus on image data processing, specifically DICOM . The ideal candidate should be a proactive problem solver with a collaborative mindset, ready to thrive in a fast-paced environment. Key Responsibilities: Support data preparation, curation, and ingestion processes. Perform pre-processing and post-processing activities on large-scale datasets. Handle image data processing , particularly in DICOM (Medical Imaging) . Optimize and automate data pipelines for improved efficiency and scalability. Collaborate with cross-functional teams to ensure data quality and accessibility. Mandatory Skills & Experience: Data Engineering: 7+ years (extensive usage). Python (Big Data Programming): 7+ years (extensive usage). DICOM (Medical Imaging): 6+ years (extensive usage). Optional Skills (Preferred but Not Required): AWS (Cloud Providers): 4+ years (extensive usage). Life Sciences: 5+ years (extensive usage). Qualifications: Bachelor's degree in Computer Science, Data Science, or a related technical discipline. Proven experience in data engineering and management . Strong expertise in Python programming for big data applications. Hands-on experience with DICOM and medical imaging data processing. Familiarity with AWS and life sciences is a plus. Skills & Attributes: Thrives in dynamic, cross-functional team environments . Possesses a team-first mindset , valuing collaboration and diverse perspectives. Approaches challenges with a positive, can-do attitude . Willing to challenge the status quo and take calculated risks to drive performance. A passionate problem solver with high learning agility .

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