You start your day with a meeting with a customer of our SAC service. You have designed and implemented a Dashboard for the customer on base of SAP Analytic Cloud that allows to supervise the aggregated financial situation of a business unit based on data from a multitude of sources. The tests are successful, the figures are correct, the user story has an end-to-end focus with an appealing UI design. A final small request for improving the UI can be implemented easily and quickly, so that this task can be completed. You then become aware that within another SAC solution some issues arose leading to inconsistent figures. As our backend is based on Snowflake you analyse the whole chain from the data model in Snowflake over the Data Warehouse Cloud which is being used as middleware towards the SAC solution. Having identified and fixed the issue, you close the corresponding ticket, document the solution, and advise the customer. Now its time to start with a bigger implementation task: A new demand has been issued by the customer. You use the rest of the day to understand the required technical details and make a first draft of the design of the required new BI solution together with the team you are working in. With your deep understanding of the capabilities of the technology stack you need to facilitate engagements with key partners and helping to solve impediments to deliver data use cases to achieve business value and our vision to become a data driven company. Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation. Honestly, we dont have all the answers. Given the scale of the challenge we need many types of perspectives to help reinvent the future, and we cant do it alone. Our team is looking for innovative, enthusiastic, versatile data enthusiast and AI professionals that will drive us forward on this exciting venture.
How Youll Make an Impact / Responsibilities
SAC:
Develop newapplications in SAC
Work on enhancements of existing Dashboards and digital applications
Data provisioning and modelling for visualization team / to business
Work on function data testing and performance optimization
Work closely with business for requirement gathering and application designing
Actively participate in process automation
Work on a SAC-Widgets named BIExport incl. the work on and with the BIExport Cloud Server
Knowledge and Guidance on SAC Planning approaches.
Keep up to date with SAP SAC releases and upcoming functions
Snowflake:
Working on large enterprise level cloud data management platform
End to end delivery responsible.
Good functional business-oriented approach as for this role the level of interactions with business users and key users.
Experience in DevOps and Familiar with Jenkins, docker and Gitlab for CICD
Think always with self-help and self-administered perspective of new tool.
Build up deep knowledge within DAsh with Snowflake model.
Accommodating change requirements and new mapping
Setting up an agile way of data replication and strong data service models.
Establish and promote DaaS- Data as a Service culture with ease of user experience.
Exhibit pro-activeness in getting involved in other organizational management discussions and initiatives.
Excellent management and coaching skills.
Organizational/planning skills with the ability to coordinate and manage complex projects and organize workloads in a structured way within tight deadlines.
Cross Function Collaboration.
Flexibility to work with people in different time zones, e.g., Europe.
Critical thinking skills and ability to work under pressure.
Organized approach to solve problem with good decision-making skills.
Multi-tasking skills and ability to meet deadlines.
What You Bring / Skills, Capabilities - Total Exp. :4 - 6 years.
Sac:
You should have total 3-4 years of intensive experience in Business Intelligence Data Application.
You should have SAC Integration experience
You should have Connected from SAC to 3rd party agents
You must have expertise in Roles and Security creation for new connections
You must have expertise in Data Type Model / Semantic Usage
You must have expertise in Granting/ Revoking Access Roles
You must have experience SAC Development Working with different design approaches like SAC Application, SAC Stories and also knowing the details on Story 2.0 approaches
You should have experience on digital board Room and Analytical application
You should have hands-on creating / publishing stories from multiple data sources.
You should have Custom Chart and graphs development.
You must have expertise in Performance optimization.
Snowflake:
2+ years of intensive hands on experience on Snowflake SQL coding
Good Knowledge in Snowflake architecture concepts - Cloud Services, Virtual Warehouse, Storage
Good exposure in performance tuning, optimization on snowflake
Expert in Data modeling skills on relational databases especially for data warehousing
Experience into Data Warehouse and Planning
Agile Practitioner.
Knowledge in building data ingestion pipeline using AWS, Azure & GCP data services
Expert with Snowflake skills like Snowsql, Snowpipe, Snowflake task
Good understand on Data warehousing modeling.
Masters or bachelors degree in computer science or IT.
Very good English skills (minimum C1).
Very good intercultural communication and collaboration skills with minimum 2 years of experience in international collaboration
Good to have added advantage:
Experience in large scale platform migration ex; HANA Data lake to Snowflake
SAP BW/BW4 knowledge
Experience implementing Large enterprise level cloud data management platform
Exposure to Amazon S3 Bucket
Snowpro Certified
Certified AWS Data Strategist
AWS Certified Dev-Associate Level
Snowflake to SAC configuration via DWC.
Hands on Experience on SAP Datawarehouse Cloud
R-Language/Python/ Java Script, other Reporting Platforms like Tableau or Power BI
About the Team
"Lets make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future. In our Business Functions we enable our organization to reach their targets by providing best-in class services and solutions in the areas of IT, HR, Finance, Real Estate, Strategy & Technology and more. Siemens Energy is a globally operated Company and has seventy thousand plus employees along with highly valued consumers and highly devoted vendors, Enterprise data and Advanced Analytics is the inhouse data and analytics department tasked to support all of Siemens Energy with data and AI ecosystems and platforms, giving the company unique insights into its data and enabling Siemens Energy to become a data driven company. Our guiding principles ensure work life balance and diversity in terms of gender, experience, skills, and technology. Our strategy is to ensure working on specifics and being supported by partners for commodity topics. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but were also using our technology to help protect people and the environment. Our distributed team is committed to making balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits
Employees are eligible for Remote Working arrangements up to 2 days per week.
All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy. - As a part of CTC, tax saving measure
Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis.
Opportunity to work real estate colleagues across the world and make a significant contribution to the development of the global SE real estate organization.
Real estate is supports many of the business strategies of SE. It is a great place to develop your relationship with BU, Division and Business Hub finance leaders.
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