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




- mentor junior engineersthrough design reviews, code reviews, operational guidance, and engineering best practices N
- drive adoption of engineering standards around testing, deployment, observability, governance, security, documentation, and operational excellence N
- leverage AI-assisted engineering workflows to accelerate development, debugging, testing, documentation, and platform operations N
- contribute to the evolution of Newtap's Data Lakehouse architecture, governance framework, metadata management, and AI-ready data foundations N
- drive technical decisions within their domain while balancing scalability, maintainability, reliability, and business outcomes N

nYou should apply if you are:
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- 4–7 years of experience in data engineering, analytics engineering, platform engineering, or backend engineering with significant production ownership N
- robust experience designing an

📌 Data Engineer (Bengaluru)
🏢 Newtap Finance
📍 Bengaluru