AWS Big data Engineer

 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.