Mid-level Data Engineer - MIDAS Data Platform

Budget -18LPA ( No need to add margin) 

Duration - 1 year

Chennai Location

Required Skills and Experience

• 4-7 years of experience in data engineering or analytics engineering
• Strong proficiency in SQL and working knowledge of Python
• Hands-on experience building data pipelines using tools like Databricks, dbt, or similar
• Experience with AWS and its object storage
• Understanding of data modeling concepts including dimensional modeling and fact/dimension tables
• Experience with data quality validation and testing
• Ability to debug and troubleshoot data pipeline issues
• Experience with version control (Git) and basic understanding of CI/CD concepts
• Understanding of basic data governance: access control and audit logging
• Good problem-solving skills and ability to work with moderate independence
• Good communication skills and willingness to ask questions when blocked
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Preferred Skills and Experience

While not specifically required, tell us if you have any of the following.

• Experience in financial services, fintech, or regulated industries
• Basic knowledge of banking domain concepts: core banking, payments, or regulatory reporting
• Exposure to data platforms in regulated environments (FISC Guidelines, GDPR, APPI)
• Hands-on experience with Databricks platform or AWS native data services
• Experience with performance tuning: partitioning strategies, file formats, query optimization
• Experience building REST APIs with Python (FastAPI, Flask, or similar)
• Knowledge of streaming data pipelines (Kafka, Kinesis, or similar)
• Basic experience with Terraform
• Experience with BI tools (QuickSight, Tableau, Looker, PowerBI)
• Experience with data visualization and dashboard design
• Interest in obtaining certifications (AWS Certified Data Analytics, Databricks certifications)
• Experience in AI development and/or experience in using AI tools to improve development processes.
• Money Forward recently announced our AI Strategy roadmap which focuses on improving AI-driven operational efficiencies, as well as integrating AI agents into our products to deliver better value to our users.