Siemens Energy

A Snapshot of Your Days

You start your day with a meeting with a customer of our SAC service. Our Team has designed and implemented a Dashboard for the customer on base of SAP Analytic Cloud that allows to monitor 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 analyze 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 inform the customer.

Now it’s 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 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 collaborators 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 don’t have all the answers. Given the scale of the challenge we need many types of perspectives to help reimagine the future, and we can’t do it alone. Our team is looking for innovative, hardworking, versatile data enthusiast and AI professionals that will drive us forward on this exciting venture.

How You’ll Make an Impact / Responsibilities

• Service Operation and 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 proactiveness 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 multiple 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.
• Agile Practitioner.

What You Bring / Skills, Capabilities

• Total yea4-6 yrs of intensive hands on different ETL tools and platforms.
• Knowledge of snowflake SQL Scripting.
• Working knowledge of JavaScript and PL/SQL with good knowledge of creating Procedures.
• Good knowledge in Snowflake architecture concepts - Cloud Services, Virtual Warehouse, Storage
• Good exposure in performance tuning, optimization on snowflake.
• Data modeling skills on relational databases especially for data warehousing
• Experience into Data Warehouse and Planning
• Knowledge in building End – to end data pipeline.
• Experience in data migration.
• Knowledge of Snowflake skills like Snowpipe and Snowflake task.
• Master’s or bachelor’s degree in computer science or IT.
• Very good English skills.
• Very good intercultural communication and collaboration skills with minimum 2 years of experience in international collaboration
• Good understand on Data warehousing modeling.
• Experience in building data ingestion pipeline using AWS, Azure & GCP data services.
• Knowledge of Control + M or any Job scheduler

Good to have added advantage:

• Exposure to Azure Blob/ Amazon S3 Bucket.
• Knowledge in Amazon EC2 Cloud computing
• Knowledge in Spark Engine
• Snowpro Certified.
• Certified AWS Data Strategist
• AWS Certified Dev-Associate Level

Let’s talk about us

"Let’s 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.

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Jobs & Careers: https://www.siemens-energy.com/global/en/company/jobs.html