SiemensEmployer profile

Industrial Data and Cloud Computing Engineer for Battery Energy Storage Systems

Location not specified · 5–83.3 yrs

Experience: 5–83.3 yrs
Salary: Not disclosed
Location: Location not specified
Work mode: Not specified
Job type: Full-time
Apply by: Closing date not listed
Posted: 13 Apr 35

About this role

Looking for challenging role? If you really want to make a difference - make it with usThe position presents a unique opportunity to improve and transform the current state-of-the-art Battery Energy Storage Systems (BESS) Digitalization and Analytics in Siemens Energy, India. As a part of our BESS Digitalization R&D team, you will, together with dedicated international colleagues, get the chance to work with and build up a world-class BESS R&D group. We are looking for flexibility, curiosity, and eagerness to learn in the candidate. You will be able to have a tangible impact on our success story. This position requires a creative and analytical mindset with a strong understanding of industrial data acquisition pipelines and cloud architecture design. The candidate will be able to develop their skills and knowledge on three highly demanded topics: data engineering, cloud computing and battery energy storage technology.If you are a motivated engineer with a passion for designing and implementing efficient and reliable data acquisition and cloud system architecture solutions, with knowledge of Industrial IoT protocols, containerization technologies, message brokers, data lakes, data buckets, data warehouses such as Snowflake, and experience with edge computing, edge model management, and monitoring then it is the right opportunity knocking at your career door. The engineer will work in an international team environment and must possess excellent analytical and problem-solving skills and strong communication skills.Your new role – challenging and future-oriented.

Develop, maintain, and troubleshoot monitoring systems to ensure the safe and efficient operation of Battery Energy Storage Systems.
Develop and maintain data pipelines to ensure efficient and reliable data collection, processing, and storage.
Design, and implement industrial data acquisition workflow for Battery Energy Storage Systems, including hardware selection and configuration, communication protocols, and data processing and storage.
Work closely with ML engineers, data scientists, cloud solution architect and software engineers to design and implement hybrid, cloud, and on-premises data architecture for Battery Energy Storage Systems.
Select appropriate technologies and configurations for different customer use cases and ensuring system security and scalability.
Managing technical meetings and drafting and presenting reports.
Collaborate with cross-functional teams, including planning and coordinating tests required for model parameterization and characterization.
Work with the battery energy storage system (BESS) stakeholders to identify the improvement areas in the currently available techniques.

We don’t need superheroes, just super minds:

Bachelor’s or master’s degree in computer science, Electrical Engineering, Electronics, instrumentation or a related field.
At least 5 years of experience designing and implementing data acquisition systems, data pipelines, cloud and on-premises architecture, and monitoring systems.
Strong experience with programming languages such as Python, Java, and SQL.
Experience with Industrial IoT protocols such as Modbus, OPC-UA, Profibus, Profinet, and MQTT and message broker as Kafka.
Knowledge of data storage technologies such as SQL and NoSQL databases, datalakes, databuckets, and data warehouses such as Snowflake.

Cloud-Engineering Skills

Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with Linux operating systems and command line interface.
Experience in designing and developing end-to-end edge compute solutions either using AWS IoT Greengrass, AWS Sitewise or Azure IoT Gateway Solutions.
Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Strong communication and interpersonal skills.
Experience designing data architecture for hybrid, cloud, and on-premises solutions for different customer use cases.

Positive points for bringing:

Familiarity and managing Kubernetes clusters for edge computing, edge model management, and monitoring.
Familiarity with machine learning platforms such as Kubeflow, MLflow, or similar.

Expected Skills:

Excellent analytical and problem-solving skills
You should have ability to work as an individual contributor (IC role).
Strong communication skills and ability to work in a team environment.

Other expected traits:

Creativity and analytical mindset
Quick learner and detailed oriented

We’ve got quite a lot to offer. How about you?This role is based at Site ( Gurgaon ). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come.We’re Siemens. A collection of over 379,000 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 imagination and help us shape tomorrow.

Skills

Other