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
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- design, build, and operate scalable data pipelines powering business reporting, analytics, risk, underwriting, collections, finance, compliance, and operational decision-making
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- own and evolve Airflow orchestration, EMR/Spark processing, Athena query platforms, Iceberg Lakehouse tables, CDC ingestion frameworks, and Data Lake architecture
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- design and maintain scalable data marts, curated datasets, semantic models, and data products consumed by business and technology teams
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- drive improvements in platform reliability, observability, scalability, performance, cost efficiency, and data quality
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- lead root cause analysis and resolution of complex data quality issues, operational incidents, reconciliation gaps, and platform bottlenecks
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- collaborate closely with Product, Risk, Finance, Analytics, Compliance, Engineering, and Leadership teams to translate business requirements into scalable data solutions
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- mentor junior engineersthrough design reviews, code reviews, operational guidance, and engineering best practices
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- drive adoption of engineering standards around testing, deployment, observability, governance, security, documentation, and operational excellence
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- leverage AI-assisted engineering workflows to accelerate development, debugging, testing, documentation, and platform operations
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- contribute to the evolution of Newtap's Data Lakehouse architecture,



governance framework, metadata management, and AI-ready data foundations
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- drive technical decisions within their domain while balancing scalability, maintainability, reliability, and business outcomes
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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
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- strong experience designing and operating production-grade data pipelines and distributed data processing systems
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- hands-on experience with Airflow, Spark, EMR, Athena, data lakes, and cloud-native data platforms
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- experience designing data marts, analytical datasets, and scalable data models for business consumption
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- solid understanding ofdata lakehouse architectures, CDC patterns, schema evolution, partitioning strategies, and performance optimization
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- experience owning production systems, troubleshooting incidents, and driving operational excellence
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- ability to independently solve ambiguous technical problems and drive solutions from concept to production
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- experience mentoring engineers and influencing engineering standards within a team
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- strong stakeholder management skills with the ability to align technical and business priorities
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- ability to leverage AI effectively for development, debugging, analysis, and productivity improvements
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- interest in building scalable data platforms within fintech and regulated environments
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📌 Hiring: Data Engineer (Bengaluru)
🏢 Newtap Finance
📍 Bengaluru