What will you do?own end-to-end data platforms and critical data domains across Newtap's lending and financial ecosystemdesign, build, and operate scalable data pipelines powering business reporting, analytics, risk, underwriting, collections, finance, compliance, and operational decision-makingown and evolve Airflow orchestration, EMR/Spark processing, Athena query platforms, Iceberg Lakehouse tables, CDC ingestion frameworks, and Data Lake architecturedesign and maintain scalable data marts, curated datasets, semantic models, and data products consumed by business and technology teamsdrive improvements in platform reliability, observability, scalability, performance, cost efficiency, and data qualitylead root cause analysis and resolution of complex data quality issues, operational incidents, reconciliation gaps, and platform bottleneckscollaborate closely with Product, Risk, Finance, Analytics, Compliance, Engineering, and Leadership teams to translate business requirements into scalable data solutionsmentor junior engineers through design reviews, code reviews, operational guidance, and engineering best practicesdrive adoption of engineering standards around testing, deployment, observability, governance, security, documentation, and operational excellenceleverage AI-assisted engineering workflows to accelerate development, debugging, testing, documentation, and platform operationscontribute to the evolution of Newtap's Data Lakehouse architecture,



governance framework, metadata management, and AI-ready data foundationsdrive technical decisions within their domain while balancing scalability, maintainability, reliability, and business outcomesYou should apply if you are:4–7 years of experience in data engineering, analytics engineering, platform engineering, or backend engineering with significant production ownershipstrong experience designing and operating production-grade data pipelines and distributed data processing systemshands-on experience with Airflow, Spark, EMR, Athena, data lakes, and cloud-native data platformsexperience designing data marts, analytical datasets, and scalable data models for business consumptionstrong understanding of data lakehouse architectures, CDC patterns, schema evolution, partitioning strategies, and performance optimizationexperience owning production systems, troubleshooting incidents, and driving operational excellenceability to independently solve ambiguous technical problems and drive solutions from concept to productionexperience mentoring engineers and influencing engineering standards within a teamstrong stakeholder management skills with the ability to align technical and business prioritiesability to leverage AI effectively for development, debugging, analysis, and productivity improvementsinterest in building scalable data platforms within fintech and regulated environments

📌 Data Engineer (Vasanth Nagar)
🏢 Newtap Finance
📍 Vasanth Nagar