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Mid-level role, Bangalore metro location, and a strong corporate brand increase applicant competition.
Core data integration and cloud skills are broadly transferable across industries.
Explicit 3-5 years plus specific Azure, Databricks, Snowflake, Kafka and Python requirements create strict filters.
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Build and prototype integration solutions primarily using APIs and Event-Driven Architectures to support Data & Analytics teams with timely and relevant data.
Collaborate with Data Product Owners and cross-vendor teams to deliver integration solutions aligned with goals of findability, accessibility, interoperability, and re-usability.
Contribute to integration strategy, implement best practices in systems integration, security, performance, and drive DevOps/DataOps/Agile methodologies to improve process KPIs.
Bachelor's degree in engineering, computer science, or related field.
3-5 years total work experience, including 1-2 years with APIs and Event-Driven Architectures.
Hands-on Python programming skills.
Experience with Microsoft Azure or AWS and data management tools like Azure Data Factory, Data Lake, Synapse, Databricks, and Snowflake; familiar with version control and DevOps practices.
Experience designing and building end-to-end scalable, reliable, and secure cloud architecture integration solutions, preferably on Azure.
Ability to partner across multiple teams including platform/product owners and technical specialists to align integrations to strategic data and analytics goals.
Track record of implementing integration strategies incorporating hybrid integrations (cloud-to-cloud, cloud-to-on-premise, on-premise-to-on-premise) with emphasis on reducing redundancies and optimizing total cost of ownership.