Top SQL Jobs in Pune

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Design, implement, and operate production database platforms across GCP and Azure. Responsibilities include PostgreSQL, SQL Server, and BigQuery administration; architecture, migration, performance tuning, monitoring, backup, recovery, high availability, and disaster recovery. The role also implements Terraform infrastructure, supports CI/CD and data pipelines, contributes to security and modernization initiatives, and collaborates with engineering, analytics, data science, and business teams.

Own the architecture health and resilience of HighLevel’s billion-scale distributed systems. Identify failure modes, capacity constraints, consistency risks, and cross-service dependencies; approve critical designs; prototype and ship architectural fixes; and improve backpressure, degradation, idempotency, and fault isolation. Partner across teams through design reviews, incident remediation, and postmortems while raising engineering standards for systems operating at massive scale.

Supports and implements Planful FP&A and consolidation modules, including workflow modeling, automation, technical design, testing, documentation, maintenance, reporting, user access, training, and business-as-usual support. Collaborates with stakeholders to improve financial planning processes, troubleshoot issues, and maintain a positive user support experience. The role also applies analytical, problem-solving, and basic project management skills while working with ERP and automation tools.

Build and maintain scalable full-stack subscription, payment, and entitlement systems using Java and modern web technologies. Develop React-based user experiences, REST APIs, microservices, and Fire TV in-app purchase integrations. Design resilient distributed systems supporting high concurrency, reliability, observability, and traffic spikes. Integrate payment providers and platform APIs, improve performance, handle reconciliation and failure scenarios, participate in architecture and code reviews, and mentor engineers.

Build and maintain scalable full-stack subscription, payment, and entitlement systems using Java and modern web technologies. Develop React-based frontends, REST APIs, and microservices; integrate Fire TV in-app purchases, payment providers, app stores, and platform APIs. Improve performance, reliability, monitoring, and distributed-system consistency under high traffic. Collaborate across engineering and product teams, deliver production features independently, and participate in design and code reviews.

Build and support fund accounting data solutions for asset management, including integrations, transformations, reconciliations, controls, and finance reporting products. Develop large-scale data pipelines using Databricks, Python, PySpark, and SQL; work with investment data, NAV calculations, accruals, corporate actions, fees, and general ledger information. Support cloud-based delivery, data quality, orchestration, CI/CD, and direct collaboration with US stakeholders.

Develops, tests, configures, and supports Connected Factories and Industrial IoT applications across global manufacturing sites. Responsibilities include troubleshooting, deployment, system validation, data-quality checks, performance monitoring, secure coding, issue resolution, stakeholder collaboration, documentation, and user training. The role requires expertise in Ignition 8.1, SQL, Python, manufacturing connectivity protocols, IT networks, and digital manufacturing environments.

Develop and maintain backend services for Insurance Services, extract property attributes using regular expressions and large language models, and collaborate with engineers, product managers, and data scientists. Responsibilities include writing tested code, participating in reviews, working with microservices and cloud infrastructure, completing defined tasks, and communicating progress. The role requires SQL, JVM or Scala experience, exposure to data science, containerization, event-driven systems, cloud platforms, and CI/CD.

Develop and maintain backend services for Porch’s insurance platform. Collaborate with engineers, product managers, and data scientists to extract property attributes using regular expressions, large language models, and related techniques. Write clean, tested code, participate in reviews, work with microservices and cloud infrastructure, and complete defined engineering tasks. The role requires knowledge of SQL, JVM languages, preferably Scala, data science concepts, and property or home-inspection domains.

Develop and maintain scalable full-stack web applications using React, TypeScript, HTML, CSS, Python, and Flask. Deploy and troubleshoot production software using DevOps pipelines, Azure, Docker, Unix, and Git. Collaborate on application requirements, prioritize client features, mentor junior developers and interns, and support analytics and machine learning integrations. The role is fully remote with flexible hours and emphasizes independent work, maintainability, and work-life balance.

Build, validate, and release software for ARM-based platforms. Develop Python and Shell automation, improve CI/CD pipelines, troubleshoot Linux and architecture-specific failures, and investigate root causes using debugging and system tools. Collaborate with distributed engineering teams on build systems, cross-compilation, security controls, REST APIs, microservices, and database testing.

Lead the architecture and development of high-performance C++ parser, compiler-adjacent, and code-analysis systems across Windows and Linux. Design grammars, ASTs, semantic analysis pipelines, and support for languages such as JCL, COBOL, and SQL. Mentor engineers, resolve complex parsing issues, improve portability and performance, and integrate parser systems with databases and downstream platforms. Use Qt, Docker, SQL databases, and AI coding assistants to deliver scalable enterprise software.

Provides advanced technical and ERP support for QAD and Progress products, including installations, upgrades, configurations, database administration, optimization, backups, and troubleshooting. Handles complex escalated customer cases, documents solutions, develops training content, and collaborates with R&D, Product Management, and global support teams. Requires participation in rotating shifts, weekend coverage, and potential on-call support.

Provide technical guidance to Scrum teams building secure, scalable, highly available payments software. Design and develop .NET services and Angular applications, collaborate with architects and technical leads, own codebases, improve test coverage, troubleshoot issues, mentor team members, and contribute throughout the software delivery lifecycle using Agile practices.

Supports Finance Cloud Transformation through liquidity data validation, reconciliation, gap analysis, UAT, dashboard production, defect resolution, and reporting controls. The role validates liquidity returns against PRA, EBA, HKMA, and US Federal Reserve regulations, gathers data requirements, investigates data-quality issues, coordinates with Finance and IT teams, supports testing and sign-off, and helps reduce manual adjustments and operational risk.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Leads the development of customer intelligence and AI capabilities, including Customer 360 platforms, predictive models, churn and revenue opportunity analytics, recommendation engines, executive dashboards, and AI-enabled workflows. Partners with revenue, customer success, sales, product, support, and finance leaders to identify growth opportunities, improve retention, optimize renewals, and guide strategic decisions through data-driven insights.

Provides first-line production support for enterprise applications by monitoring Splunk and New Relic dashboards, investigating alerts, triaging incidents, managing tickets, documenting evidence, escalating issues, and supporting maintenance and deployment windows. The role requires monitoring knowledge, incident management skills, clear communication, and the ability to handle multiple production incidents. Familiarity with AWS data platforms and Python, SQL, Scala, or Shell is preferred.

Own end-to-end machine learning for ecommerce discovery, including recommendation and ranking models, low-latency Python serving, batch pipelines, A/B testing, and production deployments. Operate containerized services on Kubernetes, monitor systems, and extend LLM-powered shopping and catalog applications. The role requires strong recommender systems, search ranking, embeddings, vector databases, streaming, and production ML experience.

Monitor and maintain production processing environments across Linux and Windows. Troubleshoot applications, perform first-level issue triage and escalation, execute and validate ad hoc jobs, and support Big Data platforms including Hadoop, AWS, and Greenplum. The role also automates manual processes, alerts, and efficiency improvements while collaborating with global teams in a 24/7 rotational shift environment.

Designs and maintains automated UI, API, integration, and data tests using Playwright, TypeScript or JavaScript, and related frameworks. Builds scalable automation frameworks, validates databases, ETL processes, data pipelines, and data quality, and works with Azure environments. Defines testing strategies, identifies quality risks, improves reliability and coverage, integrates tests into CI/CD pipelines, and uses AI tools to improve test creation, analysis, and debugging.

Develop, maintain, optimize, and troubleshoot SQL Server databases supporting enterprise healthcare applications. Write complex queries, stored procedures, functions, triggers, views, and indexes; safely implement live database changes; perform testing and performance tuning; resolve production issues; and ensure secure coding and HIPAA compliance. Collaborate with engineering and internal customers using Agile practices, provide technical guidance, document designs, and support software enhancements and deployments.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

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.