Job DescriptionWhat will you do? - own end-to-end data platforms and critical data domains across Newtap's lending and financial ecosystem - design, build, and operate scalable data pipelines powering business reporting, analytics, risk, underwriting, collections, finance, compliance, and operational decision-making - own and evolve Airflow orchestration, EMR/Spark processing, Athena query platforms, Iceberg Lakehouse tables, CDC ingestion frameworks, and Data Lake architecture - design and maintain scalable data marts, curated datasets, semantic models, and data products consumed by business and technology teams - drive improvements in platform reliability, observability, scalability, performance, cost efficiency, and data quality - lead root cause analysis and resolution of complex data quality issues, operational incidents, reconciliation gaps, and platform bottlenecks - collaborate closely with Product, Risk, Finance, Analytics, Compliance, Engineering,



and Leadership teams to translate business requirements into scalable data solutions - mentor junior engineers through design reviews, code reviews, operational guidance, and engineering best practices - drive adoption of engineering standards around testing, deployment, observability, governance, security, documentation, and operational excellence - leverage AI-assisted engineering workflows to accelerate development, debugging, testing, documentation, and platform operations - contribute to the evolution of Newtap's Data Lakehouse architecture, governance framework, metadata management, and AI-ready data foundations - drive technical decisions within their domain while balancing scalability, maintainability, reliability, and business outcomes You should apply if you are: - 4–7 years of experience in data engineering, analytics engineering, platform engineering, or backend engineering with significant production ownership - solid experience designing and operating production-grade data pipelines and distributed

📌 Data Engineer (Bengaluru)
🏢 Newtap Finance
📍 Bengaluru