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GE HealthCare Engineering Manager - Software India, Karnataka, Bengaluru 295585909
30.03.2025
As the Engineering Manager for our Acute Care Data Platform, Data Lakehouse team you will be responsible for:
- Team Leadership:
- Lead, mentor, and manage a full-stack team of data professionals (including data engineers, architects, product owners and others), fostering an exciting, collaborative and innovative environment.
- Recruit top talent and support career development through coaching, performance feedback, and professional growth opportunities.
- Data Lakehouse Development:
- Oversee the architecture, design, and implementation of the Acute Care Data Lakehouse which integrates structured and unstructured acute care data from multiple internal and external sources.
- Ensure data quality transparency, compliance to various geo-political data laws and regulations as well as consistency, discoverability and reliability throughout the data lifecycle.
- Agile Practices:
- Advocate for Agile methodologies within the team, facilitating sprint planning, daily stand-ups, retrospectives, and continuous feedback cycles.
- Develop / Implement Agile KPIs to demonstrate adherence and show team performance improvements over time.
- Collaborate closely with product owners and stakeholders to define, prioritize, and deliver features that meet business needs.
- DevOps and Automation:
- Implement and refine DevOps practices to streamline integration and deployment pipelines in order to enhance operational efficiency.
- Champion automation of data workflows, CI/CD, and monitoring processes to ensure high availability and performance.
- Servant Leadership:
- Serve as an advocate for your team, removing obstacles and empowering team members to take ownership of their work.
- Foster a safe environment where team members feel valued and encouraged to innovate, share ideas, and contribute to decision-making processes.
- Practice active listening and provide support to team members in both professional and personal challenges, emphasizing a people-first approach.
- Stakeholder Collaboration:
- Work closely with cross-functional teams, including data scientists, product managers, and clinical healthcare professionals, to understand data requirements and inform decision-making.
- Communicate effectively with technical and non-technical stakeholders to ensure alignment and transparency.
- Continuous Improvement:
- Foster a culture of continuous improvement, encouraging experimentation and adoption of best practices in data engineering and analytics.
- Stay current with industry trends, technologies, and best practices related to data platforms and acute care systems.
- Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.
- 5+ years of experience in Data Engineering or Analytics, with a proven track record of delivering large-scale data solutions.
- 2+ years of experience in a management role, successfully leading engineering teams in an Agile environment.
- Strong knowledge of data technologies, including data warehousing, ETL processes, and cloud platforms (e.g., AWS, Azure, GCP).
- Proficiency in programming languages such as Java, Python, SQL, or Scala.
- Solid understanding of DevOps principles, CI/CD pipelines, and automation tools.
- 3+ years’ experience in HealthCare, life sciences, or clinical data technology.
- Excellent communication, interpersonal, and problem-solving skills.
- Passion for healthcare data, analytics, and improving patient outcomes.
- Be part of a mission-driven team dedicated to enhancing the quality of acute care through data.
- Opportunity to shape and influence the future of healthcare analytics and decisions.
- Collaborative and supportive work culture that values personal and professional growth.
- Competitive salary, comprehensive benefits, and flexible work arrangements.
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