AWS Big data Engineer

Hello Talented Techie!

We provide support in Project Services and Transformation, Digital Solutions and Delivery Management.

We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make optimal use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective processes.

• 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.

• 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.

Create a better #TomorrowWithUs!

This role, based in Bangalore, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future.

At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.