Top SQL Jobs in Pune

Design and build scalable user management systems for a multi-tenant SaaS: authentication, authorization, IAM/RBAC, session and token flows, auditing, data sync across stores, search integration, performance optimization, compliance, and mentoring teammates while collaborating with product, security, and DevOps.

Leads the Compliance division’s data analytics and AI strategy, overseeing data scientists, ML engineers, and analytics professionals. Develops production-grade machine learning, NLP, generative AI, predictive analytics, and risk-monitoring solutions across financial services. Establishes model risk, responsible AI, governance, and regulatory compliance frameworks while guiding cloud migration, data platforms, BI reporting, and MLOps. Partners with senior Compliance, Technology, and business stakeholders and builds a high-performing multidisciplinary team.

Designs and deploys machine learning, analytics, NLP, and generative AI solutions for banking risk and compliance. Builds data pipelines, predictive models, dashboards, and production AI applications while supporting model governance, validation, explainability, and regulatory readiness. Partners with risk, compliance, data, and technology stakeholders; mentors junior team members; and contributes to AI strategy, model monitoring, and responsible AI practices across the organization.

Build and operate production Node.js and Go services for a high-scale, multi-channel messaging platform. Develop Vue 3 interfaces, work with SQL and NoSQL databases, and implement queues, caches, rate limiters, tests, monitoring, and rollout processes. Own services end to end, write design documentation, participate in code reviews and on-call rotations, and learn distributed-systems concepts including consistency, retries, idempotency, ordering, and backpressure.

Leads engineering teams and designs enterprise-scale full-stack applications across front-end, back-end, integration, and data layers. Provides technical direction, mentors engineers, promotes engineering standards, and oversees delivery, risk, quality, security, and operational stability. Develops APIs, microservices, event-driven and cloud-native solutions using modern DevSecOps, CI/CD, automated testing, and infrastructure practices. Partners with business, product, architecture, and technology stakeholders to deliver scalable solutions aligned with strategic objectives.

Drives software quality across web, API, cloud, and microservices applications. Designs and executes comprehensive testing strategies, develops Python-based automation frameworks, validates APIs and databases, integrates tests into CI/CD pipelines, and manages defects through resolution. Collaborates with Product, Engineering, and DevOps teams in an Agile environment, mentors junior engineers, and applies AI-powered development tools and modern quality engineering practices to improve coverage, reliability, and release quality.

Designs, develops, tests, deploys, maintains, and supports Oracle-based applications using PL/SQL and Oracle APEX. Responsibilities include APEX front-end customization, database performance optimization, REST and web-service integration, production troubleshooting, release management, and translating business requirements into technical designs. The role works directly with customers and requires strong communication skills, application support capabilities, and expertise in Oracle technologies.

Leads the architecture, governance, and delivery of platform extensions, custom codebases, and tailored enterprise application solutions. Establishes extension patterns, coding standards, CI/CD and testing policies, API contracts, and security controls while preventing over-customization and technical debt. Manages senior engineering teams, performs code reviews, guides troubleshooting and performance tuning, and oversees scalable release management for multi-tenant environments.

Manages software development for an enterprise management platform. Responsibilities include planning and estimating development work, coordinating managers and teams, supporting Agile delivery, collaborating with testers and project managers, and communicating product capabilities across corporate functions. The role also promotes responsible use of AI-assisted development tools, balancing delivery acceleration with human review.

Leads end-to-end architecture, design, integration, implementation, enhancement, upgrade, and production support for Oracle Fusion Cloud solutions. Translates business requirements into scalable technical solutions, oversees integrations with external applications, and provides technical leadership to offshore development and functional teams. Ensures security, performance, scalability, and compliance while managing stakeholders and global technology collaboration.

Customer-facing technical role deploying AI-enabled solutions into enterprise environments: prototype, integrate, configure, and deliver AI-native workflows, ETL pipelines, dashboards, and tooling to improve ESG reporting, automation, and operational efficiency.

Own revenue operations analytics, reporting, dashboards, attribution, workflow management, and process improvement for a designated revenue segment. Build and maintain CRM automations, track KPIs, identify growth opportunities, develop business cases, execute strategic initiatives, and communicate insights to leadership. The role also supports onboarding, training, change management, troubleshooting, and ad hoc analysis while operating independently in ambiguous situations.

Design and drive the target-state architecture for a Databricks-native data platform. Define scalable ingestion, governance, security, analytics, and reliability standards while delivering hands-on proofs of concept with SQL, PySpark, and Python. Partner with product, operations, and engineering teams to align platform investments with business needs, reduce technical debt and total cost of ownership, mentor engineers, evaluate technologies, and support AI-powered development and data analytics capabilities.

The Program Manager will enhance Sprinto's customer journey by managing deployment projects, leading cross-functional initiatives, and improving customer lifecycle processes through data-driven insights and stakeholder management.

Build and deploy machine learning and optimization models for marketplace matching, pricing, recommendations, ETA prediction, and conversational ordering. Design experiments and causal analyses, engineer features from large-scale operational data, and own production ML pipelines through deployment, monitoring, and retraining. Collaborate with product, engineering, DevOps, and operations teams to improve marketplace performance and reliability.

Develop and execute manual and automated tests for SaaS products, including regression, integration, performance, load, smoke, and user acceptance testing. Create test plans and automation scripts, track and retest defects, validate releases, document results, and collaborate with developers to resolve issues. The role also improves QA methodologies, maintains testing tools, and mentors junior QA team members.

Leads complex government software implementations from requirements validation through go-live. Owns platform configuration, SQL and Python-based data migration, ETL, reconciliation, testing, and customer enablement. Serves as a technical advisor to government stakeholders, reviews configuration and data quality, mentors implementation engineers, and improves implementation standards, tooling, and delivery processes. Partners with project management, customer success, data integration, and product teams to resolve customer needs and enhance the platform.

Lead ServiceNow AI/ML development, mentor engineers, and architect Agentic AI solutions. Build, train, and deploy machine learning models, NLP and LLM applications, chatbots, autonomous agents, ETL pipelines, and large-scale analytics across AWS, Azure, and Google Cloud. Work with Spark, Snowflake, databases, visualization platforms, and ServiceNow to deliver intelligent workflow automation for global enterprises.

Manage global equity settlement operations across international markets, including trade matching, settlement exception resolution, cash and position reconciliations, and aged-fail remediation. Coordinate with custodians, counterparties, trading, finance, compliance, and engineering teams. Support SEC, FINRA, and global regulatory controls, reporting, audits, and process improvements. Use SQL, Metabase, and automation tools to improve operational efficiency and analytics.

Build and support scalable backend features, services, reusable libraries, and technology platforms. Own service delivery, reliability, security, scalability, observability, testing, incident resolution, and operational readiness. Develop RESTful microservices, manage cloud-based applications, drive engineering best practices, and provide L3 support. Collaborate with product and business stakeholders while mentoring engineers, removing technical blockers, and ensuring milestones, service-level objectives, and software quality standards are achieved.

Join a seven-person global core team building a cross-platform Digital Concierge mobile application. Depending on the role, responsibilities span product requirements, project delivery, UI/UX, Flutter development, backend APIs, QA, or DevOps. Team members will contribute across the full product lifecycle, collaborate remotely across time zones, solve problems independently, and deliver production-ready features. Applicants must have no more than two years of professional experience and demonstrate ownership, adaptability, communication, and the ability to learn quickly.

Own measurement and reporting for an AI product portfolio. Responsibilities include defining metrics, running business reviews, building Superset dashboards, querying ClickHouse and Snowflake, analyzing retention and adoption, calculating AI usage economics, evaluating product quality, reconciling data sources, and informing roadmap decisions through instrumentation, experimentation, and product analytics.

Build, monitor, optimize, and maintain cloud-based ETL/ELT pipelines supporting business intelligence and reporting. Develop high-performance SQL transformations, manage data warehouse schemas, tune query and pipeline performance, and optimize cloud costs. Collaborate with analysts, data scientists, actuaries, and architects to translate insurance and SaaS requirements into scalable technical solutions. Participate in code reviews, documentation, troubleshooting, and data integrity initiatives.

Lead Busuu's Decision Intelligence hub as a player‑coach: own weekly/monthly performance reporting, metrics architecture, experimentation standards, and develop analytics leaders while contributing hands‑on to strategic analytics and forecasting.

Develop and maintain end-to-end web applications using modern JavaScript and TypeScript frameworks, Node.js, APIs, databases, and cloud platforms. Design responsive interfaces, implement secure authentication, write documentation and automated tests, debug performance and reliability issues, and follow Agile development practices. Collaborate with designers, product managers, testers, and other stakeholders to translate requirements into technical solutions. Mentor junior developers, recommend innovative improvements, and continuously optimize application code.