n rapid iteration, continuous improvement, and collaboration in a fast-paced setting.
Responsibilities:
- Tool Development: Design and develop sophisticated data migration tools using Python, Pandas, and SQL, ensuring high performance and scalability.
- Microservices Architecture: Architect and implement microservices-based solutions to enhance the flexibility and maintainability of data migration processes.
- Data Transformation: Develop and optimize SQL transformations to manage complex data migration requirements, ensuring data integrity and accuracy.
- Collaboration: Work closely with ETL engineers, technical consultants, and other cross-functional teams to understand data migration needs and deliver effective solutions.
- Innovation: Stay updated with the latest technologies and industry trends to continuously improve our data migration tools and methodologies.
- Code Quality: Ensure high standards of code quality through code reviews, automated testing, and continuous integration practices.
Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering or a related field.
- Proven experience as a Senior in software engineering, with a focus on data migration or ETL tool development.
- Expertise in Python and Pandas for data manipulation and analysis.
- Strong proficiency in SQL and experience with relational database management systems.
- Experience with microservices architecture and containerization technologies like Docker and Kubernetes.
- Familiarity with AWS services, particularly those relevant to ETL processes (e.g., AWS Glue, Lambda).
Desired Skills:
- Proven experience in building and optimizing data migration tools.
- Strong understanding of data transformation techniques and best practices.
- Excellent problem-solving abilities and attention to detail.
- Effective communication skills and the ability to work collaboratively in a team environment.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
What Sets You Apart:
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Demonstrated expertise in architecting and implementing microservices-based solutions.
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Advanced knowledge of Python libraries for data processing (e.g., Pandas, NumPy).
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Experience in managing and optimizing large-scale data migrations.
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Strong background in cloud computing and related technologies.
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Ability to mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
We're Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance.
Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
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