Data Engineer

JD- Data Engineer

MFLONE

Data Engineer Job Description

About Us:

Join our dynamic team at MFLOne, a leading fintech company at the forefront of financial innovation. At MFLOne, we are dedicated to creating a collaborative and inclusive working environment where your skills and expertise will be highly valued. As a data engineer with us, you’ll be part of a forward-thinking company that prioritizes data-driven decision-making and continuous technological advancement. If you’re passionate about leveraging AWS to build cutting-edge data platforms and thrive in a fast-paced fintech environment, we’d love to meet you.

Data Engineer Job Responsibilities:

•    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 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.

At MFLOne, you’ll have the opportunity to work on impactful projects, influence the development of our data platform, and grow your career in an innovative and supportive setting. If you’re ready to take on the challenge, apply now and join us in shaping the future of fintech.