Snaplogic & Airflow

We are seeking a Senior Developer with expertise in SnapLogic and Apache Airflow to design develop and maintain enterprise-level data integration solutions. This role requires strong technical expertise in ETL development workflow orchestration and cloud technologies. You will be responsible for automating data workflows optimizing performance and ensuring the reliability and scalability of our data Responsibilities include designing developing and managing ETL pipelines using SnapLogic ensuring efficient data transformation and integration across various systems and applications. Leverage Apache Airflow for workflow automation job scheduling and task dependencies ensuring optimized execution and monitoring. Work closely with cross-functional teams such as Data Engineering DevOps and Data Science to understand data requirements and deliver solutions. Collaborate in designing and implementing data pipeline architectures to support large-scale data processing in cloud environments like AWS Azure and GCP. Develop reusable SnapLogic pipelines and integrate with third-party applications and data sources including databases APIs and cloud services. Optimize SnapLogic pipeline performance to handle large volumes of data with minimal latency. Provide guidance and mentoring to junior developers in the team conducting code reviews and offering best practice recommendations. Troubleshoot and resolve pipeline failures ensuring high data quality and minimal downtime. Implement automated testing continuous integration (CI) and continuous delivery (CD) practices for data pipelines. Stay current with new SnapLogic features Airflow upgrades and industry best Skills & Experience include 6 years of hands-on experience in data engineering focusing on SnapLogic and Apache Airflow. Strong experience with SnapLogic Designer and SnapLogic cloud environment for building data integrations and ETL pipelines. Proficient in Apache Airflow for orchestrating automating and scheduling data workflows. Strong understanding of ETL concepts data integration and data transformations. Experience with cloud platforms like AWS Azure or Google Cloud and data storage systems such as S3 Azure Blob and Google Cloud Storage. Strong SQL skills and experience with relational databases like PostgreSQL MySQL Oracle and NoSQL databases. Experience working with REST APIs integrating data from third-party services and using connectors. Knowledge of data quality monitoring and logging tools for production pipelines. Experience with CI/CD pipelines and tools such as Jenkins GitLab or similar. Excellent problem-solving skills with the ability to diagnose issues and implement effective solutions. Ability to work in an Agile development environment. Strong communication and collaboration skills to work with both technical and non-technical teams.