Description:

Siemens Healthineers, a global leader in healthcare technology and innovation, is hiring a Senior Data Engineer to join its Research & Development team in Bangalore. This role offers an excellent opportunity for mid-level professionals passionate about building data pipelines, working with large datasets, and enabling data-driven decision-making through advanced engineering and analytics solutions.

As a Senior Data Engineer, you will design and maintain scalable ETL pipelines, manage data architecture for trusted repositories, and ensure robust data governance. You’ll collaborate with multidisciplinary teams to turn raw data into meaningful insights and contribute to Siemens Healthineers’ mission of advancing healthcare through innovation and technology.

Key Responsibilities:

• Design, build, and maintain efficient and reliable ETL pipelines for large-scale data processing.
• Develop robust data architectures ensuring governance, traceability, and accessibility.
• Create and maintain comprehensive documentation for data products and data dictionaries.
• Work with both real-time and batch data processing systems to ensure optimal performance.
• Collaborate with data scientists, analysts, and developers to meet data and business needs.
• Conduct design and code reviews to uphold high software quality standards.
• Apply modern data engineering principles for continuous improvement and system scalability.

Key Technical Skills:

SQL, Python, Java, Scala, Spark, Flink, Hive, Hadoop, Azure, Databricks, QlikSense, PowerBI, Data Warehousing, Data Modelling, ETL Pipelines, Data Governance, Cloud, Angular

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or MCA.
• Solid programming skills in at least one core language (SQL, Python, Java, or Scala).
• Proven experience with big data frameworks such as Spark, Flink, Hive, or Hadoop.
• Hands-on experience managing cloud-based data environments (Azure preferred).
• Knowledge of data modelling, warehousing, and pipeline management techniques.
• Experience with data visualization tools such as QlikSense or Power BI.
• Familiarity with data governance principles and implementing framework standards.
• Exposure to full-stack technologies like Angular is an added advantage.
• Strong analytical skills, team-oriented mindset, and ability to work in fast-paced R&D environments.

This position combines deep technical engineering with real-world healthcare impact, making it ideal for professionals who want their technical expertise to make a difference.