- Scalable Data Pipelines : Develop and maintain scalable data pipelines using AWS technologies (e. g., AWS Glue, AWS Lambda) to handle increasing data volumes and complexity.

- API Integrations : Build and manage API integrations to ingest data from various sources, including Moengage, Appsflyer S3 buckets, Google/Facebook/Instagram APIs, and Call Center data.

- Collaborative Development : Work closely with analytics and business teams to enhance data models for business intelligence tools, promoting data accessibility and data-driven decisions across the organization.

- Data Quality Monitoring : Implement robust processes and systems for monitoring data quality, ensuring production data is accurate and readily available for key stakeholders and business processes.

- Testing and Documentation : Write unit and integration tests, contribute to the engineering wiki, and thoroughly document your work.

- Data Analysis and Troubleshooting : Conduct data analysis to identify and resolve data-related issues, supporting the maintenance of data integrity.

- Team Collaboration : Collaborate with frontend and backend engineers, product managers, and analysts to ensure seamless integration and data flow.

- Data Asset Definition : Define company data assets and develop Spark, SparkSQL, and HiveSQL jobs to populate data models.

- Integration and Quality Framework : Design data integrations and develop a comprehensive data quality framework.

- Tool Evaluation : Assess and recommend open-source and vendor tools for data lineage and other data management needs.

- Strategic Development : Work with all business units and engineering teams to develop a long-term strategy for our data platform architecture, emphasizing scalability, reliability, and performance.

Requirements :

- Proven experience with AWS data engineering tools (AWS Glue, Redshift, Athena, Lambda, etc. ).

- Familiarity with ingesting data from various sources and integrating it into a centralized data platform.

- Experience in designing and building Customer Data Platforms (CDP) to unify customer data across multiple touchpoints.

- Strong understanding of data models, data quality frameworks, and data lineage tools.

- AWS Data Engineering certification is preferred.

- Previous experience in a fintech environment is a plus.

- Excellent problem-solving skills and attention to detail.

- Strong communication skills and ability to work collaboratively in a team-oriented environment.