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Data Engineer – Smart Building Analytics (6 - 9 years)

Job Description

Your new responsibilities
 
• Implement and maintain our data pipelines ingesting data from various data sources and products (e.g., streaming IoT data)
• Take responsibility for the extension and maintenance of our data analytics platform, of which the data pipelines are a central part.
• The core of this job are data engineering and software engineering, however the job is located within a global data science environment
• Work closely with global, cross-functional teams like Architects, Data Scientists, DevOps and Product Managers to understand and implement the solution and data requirements 
• Track the implementation, drive the integration across various departments, and monitor the usage of data analytics products 
• Make sure the numerous APIs are well maintained, test and validate the environment with end-users 
• Support the team head or other colleagues in upcoming daily tasks where necessary
 
Your skills and experience:
 
• Experience and willingness to explore big data pipeline and compute tooling such as Luigi, Airflow, Beam, Spark, Databricks. When it comes to methodologies, knowledge of agile software development processes would be highly valued
• A University degree in Computer Science or a comparable education, we are flexible as long as a high quality of code is ensured
• The scenario in our team needs an early starter, bringing along a few years of professional experience in software engineering with Python
• As you will be working with these from day one, familiarity with AWS services beyond EC2 (e.g., Fargate, Batch, RDS, SageMaker) is something we expect from applicants
• You have the right attitude, allowing you to navigate within a complex global organization and getting things done. We need a person with an absolute willingness to support the team, a proactive and stress-resistant personality
• There are a lot of learning opportunities for our new team member. An openness to learn about data analytics (including AI) offerings is part of your motivation
• Business fluency in English

Organization: Advanta

Company: Siemens Technology and Services Private Limited

Experience Level: Experienced Professional

Full / Part time: Full-time

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