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Remote, generalist data integration role with broad skillset; seniority moderately reduces competitor density.
Integration-centric data skills transferable across industries but require specific CDC and adapter experience, making fit moderately sensitive.
Explicit 10+ years and mandatory Python, SQL, integration, and production-readiness skills create high shortlisting strictness.
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.
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.
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.