Senior Integration Data Engineer
Algoworks (company site, opens in a new tab)10+ yrsRemoteDirect career pageEst. 28–42 LPA
Posted on 3 Sept
Reach people at Algoworks
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Algoworks you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and implement production-grade integrations between cloud data platform and existing data-processing applications ensuring data consistency and seamless processing.
- Develop, maintain, and troubleshoot batch and change-data pipelines, integration adapters, and data transformation workflows using Python, SQL, APIs, XML/JSON.
- Own end-to-end integration lifecycle including automated testing, logging, error handling, retries, and replay mechanisms to ensure reliable and maintainable solutions.
Minimum Requirements
- 9+ years of experience building and operating production-grade data integrations.
- Strong hands-on experience with Python and SQL, REST APIs, and data formats such as XML and JSON.
- Experience with batch processing, change-data processing, integration adapters, automated testing, and error handling mechanisms.
- Work Location: India, Remote; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing scalable, maintainable integration solutions with strong ownership of end-to-end data flow and traceability.
- Capable of making architectural decisions regarding adapters, application modifications, and shared data models.
- Strong engineering focus on data accuracy, reliability, and production readiness in distributed or cloud data platform environments.