Role
| Full Stack Software Engineer Cloud Data Hub |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
Location
| Chennai |
Experience
| 4 to 6 years |
Number of openings
| 1 |
What awaits you/ Job Profile
| Description: - Were hiring a Fullstack Software Engineer to help develop the Cloud Data Hubour AWS-based data platform for managing petabytes of enterprise data.
- Youll focus on building end-to-end platform features that empower customers to design deploy and monitor their own data pipelines. This role spans both backend services (Python) and frontend components (React or similar) delivering intuitive robust self-service tooling for data engineering workflows.
Responsibilities: - Design develop and maintain backend services and APIs in Python to enable self-service pipeline creation orchestration and monitoring.
- Build frontend features (e.g. dashboards forms monitoring views) that help customers easily design and manage data pipelines.
- Develop frameworks templates and tooling using AWS services (Glue Lambda Step Functions) to support scalable secure ETL/ELT workflows.
- Integrate AWS services (S3 Glue IAM) to deliver secure and reliable data movement and cataloging.
- Implement robust monitoring validation and alerting features to ensure data quality integrity and lineage across customer pipelines.
- Enable connectivity and integrations with external systems such as Snowflake Azure and SAP.
- Collaborate closely with UX designers and other engineers to deliver intuitive well-documented user experiences.
- Participate in architecture discussions sprint planning code reviews and CI/CD workflows.
|
What should you bring along
| Requirements: - Strong experience with Python for backend development ideally in a cloud-native serverless context.
- Proficiency with frontend development in frameworks such as React Vue or Angular.
- Solid understanding of AWS services (Glue S3 Lambda IAM Step Functions) and their use in data workflows.
- Experience designing and consuming REST APIs.
- 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 collaborative customer-focused mindset.
|
Must have technical skills
| - Python ideally in a cloud-native serverless context
- React Vue or Angular
- AWS servicesGlue S3 Lambda IAM Step Functions
- REST APIs
- Data engineering concepts like data modeling schema evolution and partitioning strategies
- GitHub
|
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.
|
Required Experience:
Senior IC
RoleFull Stack Software Engineer Cloud Data HubVisit our websiteto know more.Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates.LocationChennaiExperience4 to 6 yearsNumber of openings1What awaits you/ Job ProfileDescription:Were hiring a Fullstack Software Engineer to help develop th...
Role
| Full Stack Software Engineer Cloud Data Hub |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
Location
| Chennai |
Experience
| 4 to 6 years |
Number of openings
| 1 |
What awaits you/ Job Profile
| Description: - Were hiring a Fullstack Software Engineer to help develop the Cloud Data Hubour AWS-based data platform for managing petabytes of enterprise data.
- Youll focus on building end-to-end platform features that empower customers to design deploy and monitor their own data pipelines. This role spans both backend services (Python) and frontend components (React or similar) delivering intuitive robust self-service tooling for data engineering workflows.
Responsibilities: - Design develop and maintain backend services and APIs in Python to enable self-service pipeline creation orchestration and monitoring.
- Build frontend features (e.g. dashboards forms monitoring views) that help customers easily design and manage data pipelines.
- Develop frameworks templates and tooling using AWS services (Glue Lambda Step Functions) to support scalable secure ETL/ELT workflows.
- Integrate AWS services (S3 Glue IAM) to deliver secure and reliable data movement and cataloging.
- Implement robust monitoring validation and alerting features to ensure data quality integrity and lineage across customer pipelines.
- Enable connectivity and integrations with external systems such as Snowflake Azure and SAP.
- Collaborate closely with UX designers and other engineers to deliver intuitive well-documented user experiences.
- Participate in architecture discussions sprint planning code reviews and CI/CD workflows.
|
What should you bring along
| Requirements: - Strong experience with Python for backend development ideally in a cloud-native serverless context.
- Proficiency with frontend development in frameworks such as React Vue or Angular.
- Solid understanding of AWS services (Glue S3 Lambda IAM Step Functions) and their use in data workflows.
- Experience designing and consuming REST APIs.
- 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 collaborative customer-focused mindset.
|
Must have technical skills
| - Python ideally in a cloud-native serverless context
- React Vue or Angular
- AWS servicesGlue S3 Lambda IAM Step Functions
- REST APIs
- Data engineering concepts like data modeling schema evolution and partitioning strategies
- GitHub
|
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.
|
Required Experience:
Senior IC
View more
View less
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
