Are you looking at developing future leaders? Come join us at Siemens.
Data Engineer considering Siemens GBS Digital solutions as their new home to feel ready for the path ahead. To help you along the interview journey, we suggest that you come prepared—here are some practical tips: know some background about our company and markets, wow us with your outstanding technical proficiency in data engineering, showing how you can expand and optimize our data and as well as optimizing data flow and collection for multi-functional teams
Change the future with us
§ Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
We don’t need superheroes, just super minds
- You have exp in 7-10 years of Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Exceptional programming skills with Python or PySpark.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and NoSQL database.
- Theoretical or Working knowledge of AWS services such as Glue, Lambda and Cloudformation etc. –
- Experience building and optimizing ‘big data’ data pipelines, architectures (preferably in Git)
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
We’ve got quite a lot to offer. How about you?
This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, 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 creativity and help us craft tomorrow.
Find out more about Siemens at: www.jobs.siemens.com/careers
Organization: Global Business Services
Company: Siemens Technology and Services Private Limited
Experience Level: Experienced Professional
Job Type: Full-time