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Senior Data Engineer( Python)

Cgm

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What python roles keep asking for: Python (57%), Agile (32%), AWS (27%), Docker (23%), Kubernetes (19%), CI/CD (19%), System design (14%), Azure (14%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Cgm?
  2. What is your experience with Spark? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Create the future of e-Health together with us by becoming a part of our Dev Center in Bangalore As a leading provider of software solutions for healthcare, we operate in 19 countries and employ over 9,000 passionate professionals. Join us and become part of a dynamic, innovative environment overflowing with possibilities. Your dedication and passion will empower you to make a lasting impact. Together, we are shaping the future of healthcare. Become part of our mission and make a difference—for a world where knowledge saves lives! Your Impact As a Senior Data Engineer, You design and operate the data pipelines that power one of our critical DataServices — turning curated drug, prescription and clinical reference data into reliable, fresh, queryable datasets for our SaaS products and partners. You build and maintain robust ETL/ELT pipelines in Python with FastAPI services, alongside our Apache Spark and Scala workloads, with strong attention to data quality, lineage, observability and cost. You collaborate with product management, AI engineers and architects to design data products that unlock new AI-native features and partner integrations. You leverage Claude Code and AI agents to accelerate pipeline development, schema migrations and analysis, and you contribute to the team's shared data-engineering skills and workflows. You bring engineering rigour to data: testing, CI/CD, observability, schema management and clear ownership. Your Profile 5+ years of senior-level data engineering experience in Python, with proven track record on production pipelines. Strong SQL, experience with at least one modern data stack (e.g. Airflow, dbt, Spark/PySpark, Kafka), and cloud data platforms — ideally AWS with Terraform and ArgoCD. Effective use of AI in software engineering; experience with Claude Code (agents, skills, workflows) is preferred; AI pipelines, harnesses and context engineering are a strong plus. Strong problem solving, innovation, proactivity, and alignment with our healthcare purpose. Excellent communication skills; Fluent English; German is a plus. What You Can Expect from Us: High Performing Team: You will be part of a close-nit, elite team within CGM that will move fast, with accuracy and hit deadlines with confidence. Hybrid Work: Enjoy the flexibility of working two days per week remotely and three days on-site at our Bangalore office. Comprehensive Benefits: Extensive group health and accidental insurance programs. Seamless Onboarding: A safe digital application process and a structured onboarding program. Career Growth: Various career growth opportunities and a competitive merit increment policy. Stable & Resilient domain: Healthcare is a relatively stable and recession-proof domain. Even if you do not meet all the requirements of this job post, we encourage you to apply! We are interested in your real-world experience, strengths, and problem-solving style rather than generic and theoretical assessments. Convinced? Submit your application now (including desired salary and earliest possible starting date). We create the future of e-health. Become part of a significant mission.

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