
Data Platform Engineer
3 weeks ago
Data Platform Engineer
Work Location will be Hybrid in Mumbai
contract duration: 12+ months
Strong Software Engineering Skills
- Solid programming expertise, especially in Python, with strong fundamentals in computer science, data structures, algorithms, and system design.
- Proven problem-solving ability with a focus on writing clean, maintainable, and efficient code.
Deep Understanding of Data Platforms
- Strong conceptual and practical understanding of end-to-end data platform architecture—from ingestion to transformation to consumption.
- Hands-on experience building and scaling data platforms in production environments.
Expertise in AWS Ecosystem
- In-depth knowledge and hands-on experience with AWS services relevant to data engineering, including:
- Amazon EMR (both server-based and serverless) for large-scale data processing.
- AWS Glue (including Glue Jobs, Glue Catalog, and Glue Data Quality features).
- Amazon S3, Redshift, and Athena as key components of a modern data lake/data warehouse architecture.
- Strong Experience with AWS Event-Driven Architecture
Proficiency in building event-driven systems using:
- AWS Lambda
- API Gateway
- Amazon SQS/SNS
- EventBridge
- Ability to integrate these services into scalable and decoupled data pipelines and microservices.
Understanding of Microservices Architecture
- Familiarity with designing and working within microservices-based architectures, including service communication, deployment strategies, and monitoring.
Hands-On Technical Role
- This is a hands-on engineering role, requiring deep technical involvement in building, deploying, and maintaining the data platform.
- Must be comfortable working independently as well as collaboratively in a fast-paced engineering environment.
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