We are looking for Sr. AWS Cloud Architect

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.

You'd describe yourself as:

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.

AWS Big data Engineer