Top SQL Jobs in Pune

Analyze business and operational performance across food delivery, services, and logistics. The role involves querying and validating data, investigating performance trends and root causes, modeling unit economics and profitability, evaluating pricing and promotional impacts, conducting cohort and retention analysis, and translating findings into actionable recommendations for stakeholders.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

Develop, test, and maintain cloud-based platform services and backend features. Contribute to APIs, integrations, and core platform components; participate in code reviews, design, CI/CD, troubleshooting, and production support. Improve reliability, security, scalability, and performance while collaborating with cross-functional teams.

Designs, develops, and supports SAP-based analytics and reporting solutions. Gathers business requirements, translates them into technical specifications, builds data models, dashboards, reports, and visualizations, and performs data integration, validation, troubleshooting, and performance optimization. Collaborates with business and technical stakeholders to deliver end-to-end solutions while providing production support, documentation, and knowledge transfer.

Lead Customer 360 data engineering initiatives across Customer and Sales domains. Design data integration, ingestion, curation, governance, quality, harmonization, and common data models. Build scalable cloud-based data capabilities and integration pipelines while supporting data products, use cases, and analytics. Collaborate with business owners, regional partners, and technology teams to define strategy, roadmaps, prototypes, and MVPs, serving as a subject matter expert in Customer 360 data.

Design, develop, and support a billing transformation platform for pricing, usage calculations, rate cards, billing rules, configuration versioning, and approvals. Build React interfaces and secure Node.js REST APIs integrated with Snowflake and enterprise billing systems. Implement authentication, role-based access, CI/CD, automated testing, code reviews, security governance, and technical documentation. Collaborate in an Agile environment while supporting billing, pricing, revenue recognition, and subscription management workflows.

Internship QA Engineer supporting Binance’s compliance and digital finance products. Responsibilities include understanding business and technical scenarios, designing and reviewing test cases, executing functional and regression testing, tracking defects, and developing automation scripts. Requires hands-on Java coding, MySQL familiarity, QA methodology knowledge, analytical and troubleshooting skills, communication, and a five-day-per-week commitment.

Participate in testing backend microservices across APIs and service integrations. Design and execute functional, integration, and regression tests; track defects; validate MySQL data, idempotency, Kafka messaging, Redis state, and cross-service behavior. Build Java-based automated test suites using tools such as JUnit, TestNG, and REST Assured. Collaborate with developers and product managers, and use AI tools to improve testing coverage and efficiency.

Hands-on developer role supporting the Site Scope platform: build and maintain React web and React Native mobile apps (offline SQLite), develop Node.js REST APIs with SQL Server and Sequelize, integrate AWS AI services and Snowflake, implement PDF/document pipelines, assist CI/CD deployments, troubleshoot integrations and authentication (Microsoft Entra/Okta), and support platform operations under Tech Lead guidance.

Lead Binance’s Financial Systems function, owning ERP, sub-ledger, reporting, reconciliation, automation, AI transformation, data pipelines, controls, audit readiness, vendors, UAT, and release management. Build and develop a lean, high-output team while partnering with finance and engineering leadership to deliver scalable solutions. Drive finance transformation through hands-on prototyping, build-versus-buy decisions, and self-service tools using Python, SQL, VBA, RPA, and AI.

Design, build, and maintain enterprise-scale data hydration and integration frameworks to ingest, transform, enrich, validate, and expose AI-ready data. Implement batch and real-time pipelines, governance, lineage, observability, and resilience; integrate via APIs, event streams, ETL/ELT patterns, and cloud data platforms. Collaborate with stakeholders, support production deployments and incident resolution, and mentor junior engineers.

Responsible for software development lifecycle tasks including requirements engineering, system design, testing, and collaboration in international teams.

Lead end-to-end AI/ML-driven transformation projects: translate business requirements, design experiments, analyze results, operationalize models with data science and engineering teams, drive agile delivery, stakeholder alignment, and mentor teams to deliver measurable business impact.

Design and scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.

Lead solution design and delivery across Sales Cloud, Service Cloud, Data Cloud and Agentforce. Own architecture, integrations, data ingestion/identity, and build AI-powered Agentforce solutions. Mentor engineering teams, present technical decisions to stakeholders, and ensure data quality, reconciliation, and reporting integration with BI tools.

As a Java Tech Lead-VP, you will design and develop scalable software, manage technology programs, establish best practices, and lead engineering teams to ensure high-quality technology solutions.

Lead solution architecture and delivery across Salesforce Sales Cloud, Service Cloud, Data Cloud, and Agentforce. Design ingestion, identity resolution, Calculated Insights, segmentation and activations. Architect CPQ, case management, Omni-Channel, and Agentforce agents. Mentor engineers, produce SDDs and integration designs, present trade-offs to stakeholders, and govern data quality, reconciliation, and analytics integration with Power BI/Tableau. Support Marketing Cloud connector and deployment patterns where required.

Serve as trusted technical advisor for strategic accounts, design and build Databricks-based Lakehouse and GenAI/ML architectures, deliver proofs of concept, collaborate with sales/product/engineering, and support global account implementations and integrations across cloud environments.

The Business Management Analyst aids in strategy formulation and oversight of planning activities, focusing on FTE and Headcount Management while collaborating across teams for job requests and organizational updates.

Design and maintain backend services and APIs, enhance performance, implement testing, and collaborate with cross-functional teams while fostering a learning culture.

Develop and maintain enterprise AI products and intelligent agents using Python, JavaScript, SQL, REST APIs, AWS, and Docker. Responsibilities require advanced SQL schema design, performance tuning, stored procedures, object-oriented programming, API development, version control, and cloud-based software engineering. The role operates within globally distributed, remote-first delivery teams serving enterprise clients across multiple industries.

Own end-to-end delivery of software-engineering data programs, including scope, timelines, quality, throughput, cost, contributor performance, and customer reporting. Coordinate hundreds of distributed engineers, optimize annotation and evaluation workflows, analyze quality data, build automation and reusable playbooks, and serve as the primary client contact for AI research organizations. The role requires technical fluency sufficient to inspect code, tests, workflows, and evaluation results while leading large-scale operational execution.

Monitor and validate market data deliveries, batch processes, and feeds for SaaS clients. Troubleshoot data quality and technical issues, manage incidents, coordinate releases and production patches, and support API-related client queries. Develop standard operating procedures, automate manual checks using Python, engage vendors, and lead post-mortem and root-cause analysis activities. The role requires financial markets knowledge, especially derivatives and multiple asset classes, along with Excel, SQL, troubleshooting, and communication skills.

Leads data science and machine learning architecture engagements, analyzing diverse datasets and deploying models using cloud and big data technologies. Designs scalable, cost-effective solutions, including generative AI applications, and provides technical leadership across client delivery and presales activities. Creates standards, accelerators, reports, and presentations; mentors junior staff; and communicates technical concepts to business stakeholders.

Develop scalable network management software for optical and transport networks. Responsibilities include full software development lifecycle work, building microservices, integrating open-source software, participating in code reviews and design discussions, improving architecture and development processes, documenting solutions, troubleshooting defects, optimizing performance, and applying AI-assisted development tools.