Senior Data Engineer

Job Title: Senior Data Engineer Company: Paramount Hr Job Category: Data Science Roles & Responsibilities: Job Summary * Own the design, build and scale\-up of the data layer for GLAAS risk and credit systems, bringing together LOS/LMS, bureau, banking, GST, partner and offline data into reliable, reusable pipelines and stores. * Build production\-grade data foundations for underwriting, credit models, Customer 360, portfolio monitoring, EWS, reporting and audit \- with strong historical snapshots, data quality and operational reliability. Responsibilities * Design scalable batch, file and API\-based ingestion pipelines for SQL/Mongo sources and external data, with clear contracts, schemas, refresh SLAs and ownership. * Build curated historical datasets, point\-in\-time snapshots, analytical marts and OLAP\-ready models for underwriting, portfolio analytics, model development and monitoring. * Develop and operate ETL/ELT workflows, DAGs, scheduling, incremental processing, backfills and reruns using Python, SQL and modern orchestration frameworks. * Implement reconciliation, lineage, observability, data\-quality checks, exception queues, alerts and incident controls so critical risk data is complete, timely and auditable. * Partner with Risk, Data Science, Product and Engineering to productionize model inputs, feature pipelines, APIs and BI datasets while improving performance, resilience and cloud cost. Core Competencies * High ownership and execution discipline \- comfortable taking ambiguous data problems from architecture through production support. * Strong systems thinking, with attention to correctness, scalability, failure handling, security and operational simplicity. * Clear communicator who can work effectively across Engineering, Risk, Data Science, Product, Operations and business teams. Work Location: Mumbai, India Availability: Full time

Must\-Have Requirements * 5\-8 years of hands\-on data engineering experience with strong Python and advanced SQL, including production ETL/ELT pipelines and data modelling. * Strong experience with relational and NoSQL databases, APIs, workflow orchestration, Git\-based development and cloud data infrastructure; GCP is preferred, while AWS/Azure experience is acceptable. * Demonstrated ownership of large historical datasets, incremental loads, backfills, reconciliation/data\-quality controls, performance tuning and production debugging. * Exposure to Spark/PySpark, Kafka or streaming, dbt, Docker, CI/CD, data observability and modern warehouse/lakehouse architecture. * Understanding of ML workflows, feature stores, model input pipelines or credit\-risk data such as bureau, banking, GST and repayment data. * B.Tech/B.E Good\-to\-Have (Optional) * Experience in fintech, NBFC, banking, embedded finance or another domain involving high\-integrity transactional and decision data. Ideal Candidate Profile * A hands\-on senior engineer who can independently design architecture, write production code and investigate source\-level data issues when required. * Has built evolving data platforms in a fast\-moving product environment where sources, schemas and business requirements change frequently. * Enjoys building reusable foundations and automation, and is motivated by creating a dependable data backbone for credit and risk decisions. Key Skills: Data Science, Python, SQL Salary: Not disclosed