Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future. Our goal is to optimize processes and provide services driven by expertise, in areas such as business administration, human resources, supply chain management, sales, marketing, and engineering. Through innovation and digitalization, we facilitate the achievement of a successful and sustainable transformation. In our GBS Western Europe and Africa Hub we are already more than 1400 connected people, from over 57 different nationalities spread across 14 countries. [1] Check here, and get to know more about GBS. Are you ready to be part of the change? Come join us! Your mission will be… · Architect and Design: Develop scalable and efficient data solutions using AWS services such as AWS Glue, Amazon Redshift, S3, Kinesis(Apache Kafka), DynamoDB, Lambda, AWS Glue(Streaming ETL) and EMR · Integration: Integrate real-time data from various Siemens organizations into our data lake, ensuring seamless data flow and processing. · Data Lake Management: Design and manage a large-scale data lake using AWS services like S3, Glue, and Lake Formation. · Data Transformation: Apply various data transformations to prepare data for analysis and reporting, ensuring data quality and consistency. · Snowflake Integration: Implement and manage data pipelines to load data into Snowflake, utilizing Iceberg tables for optimal performance and flexibility. · Performance Optimization: Optimize data processing pipelines for performance, scalability, and cost-efficiency. · Security and Compliance: Ensure that all solutions adhere to security best practices and compliance requirements. · Collaboration: Work closely with cross-functional teams, including data engineers, data scientists, and application developers, to deliver end-to-end solutions. · Monitoring and Troubleshooting: Implement monitoring solutions to ensure the reliability and performance of data pipelines. Troubleshoot and resolve any issues that arise. We are looking for someone with… · Experience: 8+ years of experience in data engineering or cloud solutioning, with a focus on AWS services. · Technical Skills: Proficiency in AWS services such as AWS API, AWS Glue, Amazon Redshift, S3, Apache Kafka and Lake Formation. Experience with real-time data processing and streaming architectures. · Big Data Querying Tools: Strong knowledge of big data querying tools (e.g., Hive, PySpark). · Programming: Strong programming skills in languages such as Python, Java, or Scala for building and maintaining scalable systems. · Problem-Solving: Excellent problem-solving skills and the ability to troubleshoot complex issues. · Communication: Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders. · Certifications: AWS certifications are a plus. What you can expect from us… A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, plus the chance to join sports groups. In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies. What makes us proud as an employer: · Merco - Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing) · Forbes - World’s Best Employers (#1 Engineering & Manufacturing) · LinkedIn - LinkedIn Top Companies (#2) · OnStrategy - REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services) · Fortune - World’s Most Admired Companies (#1 Industrial Machinery) · SSON - Top 20 most admired Shared Services Organizations and Global Business Services in 2024 Please attach your CV in English. #Siemens #PeopleAtSiemens #GBSpartnerofchoice Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool! References Visible links 1. https://new.siemens.com/global/en/products/services/gbs.html