What awaits you/ Job Profile

AWS Python Expert - Cloud Data Hub

Description:

- We are seeking a highly skilled Backend Developer to join the Cloud Data Hub (CDH) Team, working closely with teams in Munich and BMW Tech Works India. The ideal candidate is a backend development expert with proficiency in Python, AWS, Kafka, Terraform, and Git, and a passion for building scalable and efficient systems. This role will involve designing, developing, and maintaining backend solutions for the CDH platform, contributing to BMW//'s transformation into a fully data-driven organization.

Responsibilities:

- Design, develop and maintain backend systems for the CDH platform, ensuring robust, scalable, and efficient solutions.

- Build and enhance serverless architectures and REST APIs using Python and AWS services.

- Implement and manage Kafka data streaming pipelines for real-time data processing and metadata orchestration.

- Develop and deploy infrastructure using Terraform for infrastructure-as-code automation on AWS.

- Utilize Git for version control and collaborate with the team on code reviews and CI/CD pipelines.

- Apply Test-Driven Development (TDD) principles to ensure code reliability, maintainability, and high-quality deliverables.

- Ensure the backend systems comply with BMW’s security standards, performance metrics, and scalability requirements.

- Proactively identify, debug, and resolve performance bottlenecks and system issues.

- Contribute to technical documentation and knowledge sharing to ensure project continuity and team alignment.

What should you bring along

Requirements:

- Expert-level proficiency in backend development with Python.

- Strong experience with AWS cloud services, including Lambda, S3, DynamoDB, API Gateway, and other serverless offerings.

- Hands-on expertise with Kafka for building and managing data streaming solutions.

- Advanced skills in Terraform for infrastructure automation and management.





- Proficient in writing optimized SQL queries and working with relational databases.

- In-depth knowledge of Git for version control and experience with CI/CD pipelines.

- Experience in building distributed systems and handling large-scale, real-time data processing workloads.

- Strong understanding of system design, scalability, and security best practices.

- Excellent debugging and problem-solving skills, with a detail-oriented mindset.

- Good communication and interpersonal skills to collaborate effectively with cross-functional teams.

- Familiarity with data engineering concepts like data modeling, schema evolution, and partitioning strategies for large-scale storage.
- Proven ability to build shared tools, libraries, or frameworks that enable other engineers or customers to work more effectively.
- Commitment to writing well-tested, maintainable code, with experience in unit and integration testing.
- Familiarity with version control (Git) and CI/CD best practices.
- Strong communication skills and a cooperative, customer-focused mindset.

Must have technical skills

- Python, ideally in a cloud-native, serverless context
- AWS services Glue, S3, Lambda, IAM, Step Functions
- REST APIs
- Data engineering concepts like data modeling, schema evolution, and partitioning strategies
- GitHub
- Experience in Snowflake
- Experience working with Docker and containerized environments.
- Familiarity with agile frameworks and participation in Scrum ceremonies.
- Knowledge of monitoring and observability tools like CloudWatch, Prometheus, or Grafana.
- Certification in AWS Solutions Architecture or related AWS certifications.

Good to have technical skills

- Experience integrating with Snowflake, Azure, or SAP systems.
- Familiarity with Glue Data Catalog, AWS Secrets Manager, or other security best practices.
- Experience building data quality monitoring dashboards or developer tooling for pipeline management.
- Experience with Infrastructure as Code tools such as Terraform for managing AWS resources.
- React, Vue, or Angular

📌 AWS Python Expert (India)
🏢 VEGA Intellisoft Private
📍 India