Top SQL Jobs in Pune

Own and document accounting and finance reporting queries and logic across markets; support external audits; reconcile loan-level and cash rollforwards; migrate reports to version-controlled Presentation Layer/dbt; ensure audit-ready traceability and fast regulatory reporting.

Own end-to-end credit strategy for an Android lending workstream: set roadmap, forecasts, and P&L; design experiments and PD/eligibility rules; implement decision-engine rules; define back-testing, validation and rollout plans; monitor performance and drive corrective actions; collaborate cross-functionally and mentor other analysts to ensure controlled, profitable growth.

Lead full‑stack development and technical leadership for CFRA's next‑generation customer‑facing web applications. Mentor the team, design scalable React/TypeScript frontends and Python backends on AWS, collaborate with product stakeholders, follow Agile practices, resolve production issues, and drive continuous improvement.

Own credit strategy and performance for expansion and partnership portfolios. Monitor KPIs, design approval/pricing/limit policies, lead partnership underwriting, translate data into decisioning improvements, and collaborate with Product and Data Science to implement risk strategies and pilot evaluations.

Provide post-go-live technical support and application engineering for Ivalua Buyer. Configure and customize the solution using C#/.NET and SQL, perform debugging, performance tuning, and manage customer relationships. Collaborate with R&D, participate in code reviews, and drive enhancements and upgrades.

The Software Development Engineer I will design and implement microservices, improve system performance, and mentor junior engineers. Responsibilities include coding, debugging, and developing features from design to deployment in a remote setting.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, enriching, profiling, and monitoring quality. Maintain data dictionaries, lineage, metadata, governance policies, dashboards, and compliance. Collaborate with stakeholders, operations, and other data stewards; train users and gather feedback to improve data products.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, profiling, and enriching content. Define data quality standards, maintain data dictionaries and lineage, implement governance policies, build quality dashboards, collaborate with stakeholders and operations, train users, and ensure compliance with privacy and regulatory requirements.

Design and evolve enterprise data solutions and data products using Data Mesh and real-time streaming. Own architectural runway, non-functional requirements, CI/CD and DataOps practices, Kubernetes hosting, and ensure built-in quality, security and cross-functional collaboration.

Lead design and delivery of scalable, high-performance cloud-native applications and APIs. Provide technical leadership across architecture, development, troubleshooting, testing, CI/CD, and deployment. Collaborate with architects, product, security, and DevOps; guide teams on NFRs, system performance, event-driven patterns, and release management while supporting SIT/UAT and operational databases.

Design, build, and maintain automated and exploratory tests for web and mobile apps. Create test plans, UI/API automation, compatibility and performance testing, perform root-cause analysis, improve test coverage, and develop testing tools and infrastructure to ensure product stability and user-focused quality.

As a Sr Workday Analyst, you'll translate user requests into system solutions and manage projects, ensuring effective testing and training while resolving business issues across teams.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Design, implement, and maintain scalable backend services using Golang or Node.js on AWS. Optimize SQL databases, resolve concurrency and performance issues, contribute to CI/CD, collaborate with frontend teams, and continuously improve system reliability and scalability.

Partner with go-to-market teams to build automations, processes, dashboards, and analytics that streamline sales operations, inform experimentation, and drive revenue growth. Serve as a strategic advisor to leadership and cross-functional teams, implement end-to-end solutions, and lead reporting and KPI design.

Lead architecture and hands-on development for Vena's C#/.NET Excel desktop add-in. Drive feature design, upgrades, performance optimization, complex bug fixes, cross-team collaboration, mentoring, and technical initiatives to improve code and product quality while working on a distributed, remote-first team.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Build, deploy, and maintain ML and optimization models for a quick-commerce marketplace (matching, pricing, recommendations, ETA). Design experiments and causal analyses, engineer features from messy geospatial and conversational data, own production ML pipelines, monitor model health, and collaborate cross-functionally to deliver reliable, incremental improvements.

Build and maintain scalable batch and real-time data pipelines using Kafka, Maxwell, Spark and dbt; design medallion-based data models; implement cloud-native data platforms (S3, Trino, BigQuery); optimize performance, ensure data quality, observability, and SLA adherence; enable analytics through trusted datasets and Metabase dashboards.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Design, build, and maintain automated end-to-end tests for backend services and APIs using C#/.NET. Create BDD scenarios, REST API tests, integrate tests into CI/CD, investigate failures, and collaborate with engineers and product managers to ensure test coverage and reliability across distributed systems.

Design, develop, test, and maintain ETL and data quality workflows using Informatica CDQ/IICS. Integrate cloud and on-prem systems, perform data profiling and cleansing, implement quality rules, build monitoring dashboards, troubleshoot production issues, optimize performance, and collaborate with stakeholders to define data quality standards.

Build and scale backend services and orchestration for AI agents managing procure-to-pay workflows. Implement APIs, integrations with ERPs and payment systems, observability, auditability, secure data pipelines, and testing/eval frameworks to ensure reliable, compliant AI-driven operations at enterprise scale.

The Senior QA Engineer will design and maintain automation frameworks, drive testing strategies, ensure product performance, and mentor junior engineers.

As Principal QA Engineer, you will lead quality engineering, design automation frameworks, mentor teams, and integrate AI tools to enhance software quality.