Data Platform Engineer-Hybrid/Mumbai/Contract

Strong Software Engineering Skills

o Solid programming expertise, especially in Python, with strong fundamentals in

computer science, data structures, algorithms, and system design.

o Proven problem-solving ability with a focus on writing clean, maintainable, and

efficient code.

 Deep Understanding of Data Platforms

o Strong conceptual and practical understanding of end-to-end data platform

architecture—from ingestion to transformation to consumption.

o Hands-on experience building and scaling data platforms in production environments.

 Expertise in AWS Ecosystem

o 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

o Proficiency in building event-driven systems using:

 AWS Lambda

 API Gateway

 Amazon SQS/SNS

 EventBridge

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o Ability to integrate these services into scalable and decoupled data pipelines and

microservices.

 Understanding of Microservices Architecture

o Familiarity with designing and working within microservices-based architectures,

including service communication, deployment strategies, and monitoring.

 Hands-On Technical Role

o This is a hands-on engineering role, requiring deep technical involvement in

building, deploying, and maintaining the data platform.

o Must be comfortable working independently as well as collaboratively in a fast-paced

engineering environment.