Sr. Integration Engineer
Location: Bengaluru, KA, In
Department: Transformation Office
Work Location: hybrid
- Build and maintain scalable ETL/ELT pipelines and data integration workflows.
- Develop web applications using Python/Node.js to automate data operations and deploy using Databricks environment
- Work with cloud services to deploy and manage data workflows.
- Collaborate with data and engineering teams to ensure reliable data flow and quality.
- Additional responsibility: might also include implementing integrations between internal systems using tools like Workato/NiFi.
- Experience with Databricks or other modern data platforms.
- Data Pipelines: Proven experience designing and building ETL/ELT or integration pipelines.
- Cloud Platforms: Working proficiency with AWS, GCP, or Azure in a data context.
- Coding: Strong skills in Python Frameworks or JavaScript / Node.js. Frameworks
- Orchestration: Experience with Airflow or similar workflow schedulers.
- APIs: Ability to work with APIs for data ingestion and system integrations., Fast API
- Data Integration Tools: Hands-on experience with Workato, Apache NiFi, or similar integration platforms.
- Familiarity with FastAPI, API development, or lightweight backend services.
- Exposure to Docker and containerization workflows.
- Experience building internal tools using Retool or similar platforms.
- Understanding of CI/CD, GitHub Actions, and automation best practices.
- Ability to deploy small internal applications or dashboards.
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