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 efficient use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective implementations.

We are looking for Data Engineer

• We are looking for a skilled Data Architect/Engineer with strong expertise in AWS and data lake solutions. If you’re passionate about building scalable data platforms, this role is for you. Your responsibilities will include:
• Architect & Design: Build scalable and efficient data solutions using AWS services like Glue, Redshift, S3, Kinesis (Apache Kafka), DynamoDB, Lambda, Glue Streaming ETL, and EMR.
• Real-Time Data Integration: Integrate real-time data from multiple Siemens orgs into our central data lake.
• Data Lake Management: Design and manage large-scale data lakes using S3, Glue, and Lake Formation.
• Data Transformation: Apply transformations to ensure high-quality, analysis-ready data.
• Snowflake Integration: Build and manage pipelines for Snowflake, using Iceberg tables for best performance and flexibility.
• Performance Tuning: Optimize pipelines for speed, scalability, and cost-effectiveness.
• Security & Compliance: Ensure all data solutions meet security standards and compliance guidelines.
• Team Collaboration: Work closely with data engineers, scientists, and app developers to deliver full-stack data solutions.
• Monitoring & Troubleshooting: Set up monitoring tools and quickly resolve pipeline issues when needed.

You’d describe yourself as:

• Experience: 3+ 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: Solid understanding 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.

Find out more about Siemens careers at: www.siemens.com/careers