Top SQL Jobs in Pune

Build and maintain Apache Camel routes and Spring Boot integration services connecting ERP, fulfillment, commerce, EDI, PLM, and data platforms. Own production troubleshooting across systems, including queues, retries, idempotency, and dead-letter handling. Deploy through Azure Kubernetes Service using Helm and related tooling, query PostgreSQL, review code, document fixes, and collaborate with India-based ERP and data teams. The role requires daily use of AI coding agents and reliable evening IST overlap with U.S. Mountain Time.

Investigate, diagnose, test, document, and resolve SaaS application bugs across production and change releases. Create test cases, perform regression and sanity testing, analyze logs and databases, support monitoring and alerting, coordinate with development and infrastructure teams, and manage defects through closure. The role includes service management, root-cause analysis, security testing support, knowledge documentation, AI tool adoption, and on-call production support.

Develop and integrate Guidewire PolicyCenter, ClaimCenter, and BillingCenter solutions across insurance transformation projects. Build APIs, Apache Camel routes, messaging and file integrations, cloud deployments, and migration processes using Gosu and Java. Troubleshoot configuration, integration, and data issues; support testing, upgrades, documentation, and client knowledge transfer.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Lead backend and data-platform architecture while remaining hands-on with Java production code. Design and operate distributed systems for event ingestion, analytical querying, data processing, and low-latency serving. Work with ClickHouse, BigQuery, Bigtable, Kafka, Redis, GCP, and Dataflow to solve scalability, reliability, performance, and data-correctness challenges. Set technical direction, review designs, mentor engineers, and guide platform convergence across Wingify and AB Tasty.

Participate in structured SAP training, learn business processes and assigned SAP modules, complete hands-on exercises, support documentation, testing, troubleshooting, and project scenarios. Work with senior SAP consultants while developing consulting skills across modules such as FICO, MM, SD, PP, ABAP, BASIS, SuccessFactors, BW, Datasphere, and BTP. The program targets fresh graduates and candidates with up to two years of experience.

Analyzes US healthcare claims and related datasets to identify data-quality issues, validate product outputs, investigate root causes, and recommend improvements. Develops SQL queries, dashboards, documentation, requirements, test scenarios, and validation results. Supports functional, regression, and user acceptance testing while collaborating with product, engineering, machine learning, engagement, and account teams.

Own payer, plan, and provider data mapping into governed hierarchies. Research and enrich records, validate data quality, document lineage and metadata, develop governance standards and dashboards, resolve exceptions, and quality-check junior analysts’ work. Collaborate with product, engineering, content, delivery, operations, and client success teams to improve data products and operationalize AI/ML-assisted mapping while maintaining human oversight.

Develop a Java-based desktop IDE, coordination server, and relational data backend for a semiconductor test engineering DSL. Responsibilities include architecture, data modeling, versioning, synchronization, language editing and validation, debugging, automated testing, and platform quality. Collaborate with international engineering teams and domain experts to build a reliable, extensible development environment.

Analyzes US healthcare claims and related datasets to identify data-quality issues, patterns, coverage gaps, and product opportunities. Develops SQL queries, dashboards, validation processes, documentation, and test scenarios; investigates defects and performs root-cause and impact analysis. Collaborates with product, engineering, machine learning, engagement, and account teams to support healthcare data-product delivery, client data services, product enhancements, and proof-of-concept initiatives.

Own payer, plan, and provider content mapping into governed hierarchies. Research and validate records, maintain data quality, document lineage and metadata, develop governance standards, resolve exceptions, and create dashboards and reports. Partner with product, engineering, operations, delivery, and client success teams to improve data products, support AI-assisted mapping, train users, and ensure privacy and regulatory compliance.

Build and maintain Five9’s engineering intelligence platform through Looker dashboards, Python and SQL data pipelines, API integrations, data quality monitoring, anomaly detection, and executive-ready analysis. Integrate Jira, Jellyfish, Salesforce, and other systems to provide engineering leadership with insights into delivery, capacity, investment, resource contention, and portfolio health. Document data lineage and analytical methodologies while optimizing models and dashboard performance.

Owns and administers Snowflake data platforms, including account governance, performance and cost optimization, security, access management, and reliability. Maintains Fivetran ingestion connectors and dbt pipelines, integrates monitoring and alerting, troubleshoots data issues, and supports cloud DevOps across AWS, Azure, and OCI. Partners with engineering, security, and compliance teams on access reviews, audit evidence, incident response, and platform improvements.

Designs, maintains, and executes automated tests for web applications, APIs, and backend services. Performs functional, regression, and exploratory testing; validates requirements; manages test data and defects; supports CI/CD and release readiness; and collaborates with Product, Business Analysis, and Engineering teams in an Agile environment.

Develops and maintains automated test scripts and frameworks for the UAMC identity and access management platform. Performs functional, regression, and exploratory testing of web applications, APIs, and backend services; validates requirements, manages test data and defects, supports CI/CD and release readiness, and participates in Agile ceremonies. Uses SQL for backend validation and Azure DevOps or similar tools for test management and traceability.

Build and maintain AI-native full-stack applications across frontend and backend systems. Develop modular React interfaces, REST APIs using Python or JavaScript/TypeScript frameworks, and work with SQL or NoSQL persistence. Set up application stacks on cloud providers, contribute throughout the product lifecycle, apply sound software design principles, and continuously learn and share knowledge.

Develop a Java-based desktop IDE, coordination server, and relational data backend for a semiconductor test engineering DSL. Responsibilities include desktop UI development, data modeling, client-server synchronization, language editing and validation, architecture, debugging, automated testing, and platform quality. The role involves shaping a modular development environment and collaborating with international engineering teams and domain experts.

Lead oncology patient-journey, line-of-therapy, brand, HEOR, and healthcare resource utilization analytics using structured claims and patient data. Build SQL pipelines, perform exploratory and statistical analyses, ensure data governance and reproducibility, and translate findings into dashboards and client-facing insights. Collaborate with HEOR, market access, strategy, and engineering teams while independently managing project delivery and stakeholder communication.

Lead deployment, maintenance, optimization, and reliability of production applications. Architect automation, monitoring, logging, alerting, and infrastructure improvements; identify AI-driven DevOps opportunities; mentor engineers; evaluate emerging tools; and collaborate with R&D, Support, and Security teams to resolve complex infrastructure and operational issues.

Diagnose and resolve complex production issues involving customer decision models, data pipelines, recommendations, data transformations, and business logic. Analyze platform behavior, perform root cause and impact analysis, validate fixes, and collaborate with Customer Success, Product, Engineering, and Modeling teams. Develop troubleshooting guides and knowledge-base content, identify recurring issues, and improve platform reliability while becoming a subject matter expert in customer implementations and modeling capabilities.

Design, develop, test, review, maintain, and support software applications and components. Own features, define component architecture, contribute to product architecture, use test-driven development, and collaborate with clients post-sale on implementations. The role requires hands-on Java and SQL development, database experience, teamwork, independent execution, and the ability to learn emerging technologies.

Lead oncology analytics projects involving patient journeys, line-of-therapy mapping, claims data, brand analytics, and HEOR/HCRU studies. Build SQL pipelines and use Python and Excel to analyze structured healthcare datasets, ensure data integrity, and deliver reproducible insights. Develop dashboards and client presentations while collaborating with HEOR, market access, strategy, and engineering teams. Independently manage project delivery and stakeholder communication.

Develop and maintain NetSuite business applications, customize ERP functionality, build scripts and integrations, improve reporting and data management, and support end users. The role requires translating business processes into technical solutions across finance, supply chain, inventory, and intercompany operations. Responsibilities include NetSuite implementations, database cleansing, API and web service integrations, troubleshooting, documentation, and collaboration with stakeholders using Agile methodologies.

Lead and grow a Core Data technical consulting practice while spending ~50% time as a hands-on Data/Technical Architect. Manage up to 15 direct reports, hire and enable consultants, define data and integration architecture, own migration strategy, advise clients on Salesforce data models, governance, security, and AI-enabled solutions, and drive practice initiatives to improve delivery, CSAT, and business outcomes.

Design, implement, and maintain high-volume, low-latency Java applications. Participate across the development lifecycle, write testable code, perform analysis, testing, debugging, produce releases, and recommend architectural improvements.