Top SQL Jobs in Pune

Designs and delivers software testing solutions for Avaloq or other core banking platforms. Responsibilities include test strategy, planning, design, execution, defect management, reporting, automation, Agile collaboration, requirements analysis, and validation of banking functionalities such as onboarding, payments, lending, investments, and client reporting. The role also supports risk controls, regulatory implementation, stakeholder engagement, and delivery of Location Strategy projects in Pune.

Design, develop, test, and improve scalable software solutions supporting Barclays’ global network across cloud and on-premises environments. Build and maintain OSS infrastructure and toolchains, develop large-scale data solutions using Hadoop and AWS technologies, collaborate with cross-functional teams, participate in code reviews, apply secure coding practices, and support risk, compliance, and technology governance. The role may also involve leading collaborative assignments or development teams.

Lead and manage engineering teams to deliver high-quality software by providing technical guidance, mentoring, enforcing standards, improving processes, and collaborating with product and stakeholders. Oversee timelines, risk, resource allocation, and align technical solutions with business objectives.

Design, develop, and support software solutions by overseeing database management and enhancing application environments while ensuring secure coding practices and operational effectiveness.

Lead data investigations, perform ETL and analytical modeling, provide insights and feasibility analyses to support sales and clients, develop/automate reporting and interfaces, and manage cross-functional analyst teams across Comscore product areas.

Leads digital marketing analytics, reporting, measurement strategy, tagging implementation, and actionable insight generation across web, content, advertising, social media, email, lead generation, and marketing automation. Translates business questions into analytical requirements, evaluates A/B testing and personalization initiatives, ensures analytics governance and implementation quality, and communicates findings to marketing and business stakeholders.

Provide L2/L3 support and enhancements for SAP BW/BW on HANA/BW/4HANA: troubleshoot data loads, process chains, routines, and reporting; perform BW inventory assessment, rationalization, performance tuning, transports, documentation, and support modernization/migration initiatives.

Leads QA strategy and a team of QA professionals while designing and implementing functional, automation, regression, smoke, API, performance, UAT, and ETL testing. Establishes test frameworks, plans, metrics, and processes; manages test execution, environments, data, defects, risks, reporting, and continuous improvement. Requires strong Java-based automation expertise, cross-functional collaboration, team development, and support for shifts or weekends as needed.

Investigate and resolve SaaS platform issues, monitor escalation queues, validate data with SQL, document technical problems, and collaborate with Product, Engineering, Design, and customer-facing teams. Analyze operational patterns to identify product, process, and customer-experience improvements while representing customer needs to internal stakeholders.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.

Provide expert support for Account-to-Report operations including review and approval of complex transactions, ensure GAAP compliance, identify and drive process improvements, manage issue resolution and internal controls, serve as audit contact, update SOPs, and contribute to leadership and stabilization of R2R processes.

Design, implement, test, and document full-stack software across the SDLC. Collaborate in distributed teams to develop backend services, REST APIs, and Angular frontends, write SQL and migrations, and maintain containerized, Linux-based development environments.

Design, implement, and support analytical data infrastructure and real-time pipelines. Build ETL processes and data warehousing using SQL and AWS big-data services. Collaborate on analytics, monitoring, and machine-learning implementations, and improve automated reporting and self-service capabilities.

Leads enterprise test strategy, automation frameworks, release quality, production readiness, and non-functional testing for data governance and metadata management platforms. Oversees testing across functional, integration, regression, performance, resiliency, and infrastructure areas; mentors test engineers; manages defects, risks, metrics, traceability, compliance, and stakeholder collaboration across Agile teams.

Build and maintain Snowflake and SQL Server data pipelines for an operational data store, including ingestion, transformation, schema modeling, migrations, CI/CD, data quality testing, and legacy batch-to-API modernization. Collaborate with domain teams and architects to support customer, loan, payment, and interaction data. Ensure data accuracy, lineage, observability, and performance while applying generative AI tools to accelerate development and testing.

Designs and develops Java and Spring-based cloud-ready applications, REST/SOAP services, microservices, and APIs. Leads large technology initiatives, manages stakeholders, risks, deadlines, and geographically distributed teams. Works with Azure, RDBMS, DevOps, CI/CD, containerization, and frontend technologies including Angular and JavaScript. Develops reusable libraries, SDKs, interceptors, and pattern-based solutions while mentoring less experienced staff and driving technical improvements.

Develop data engineering and analytics solutions using Python, Snowflake, and AWS. Collaborate with analytics stakeholders to solve sophisticated problems, connect data to business strategy, and deliver measurable business value. The role requires strong analytical, technical, SQL, communication, and problem-solving skills, plus the ability to manage complex projects independently. Experience with large-scale datasets, relational and NoSQL databases, ETL tools, continuous integration, and Agile/Scrum is beneficial.

Leads quality engineering for complex software projects by defining risk-based test strategies, building scalable Playwright automation, validating APIs and databases, integrating CI/CD quality gates, and assessing release readiness. Performs manual, exploratory, integration, performance, resilience, and distributed-system testing. Drives root-cause analysis, quality metrics, defect reduction, AI-enabled feature validation, and continuous improvement while mentoring engineers and influencing architecture and release decisions.

Develop, configure, customize, and integrate IBM Maximo across Work Management, database configuration, integrations, and Supply Chain modules. Build and maintain MIF integrations, web services, APIs, workflows, escalations, automation scripts, and reports. Troubleshoot application and integration issues, collaborate with stakeholders on technical solutions, and support testing, deployment, and post-go-live stabilization.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Design, develop, deploy, and support scalable automation solutions for engineering and business workflows. Build REST API integrations, Microsoft 365 automations, cloud-native services, and AI-powered document processing using RAG, vector databases, LLM APIs, and prompt engineering. Collaborate with software developers, AI leaders, engineers, and business stakeholders to translate requirements into reliable solutions. Responsibilities include testing, deployment, monitoring, documentation, user training, production support, and identifying opportunities to improve operational efficiency.

Leads end-to-end WMS and LMS implementation projects across warehouse sites, covering requirements, design, configuration, integrations, testing, launch, documentation, training, troubleshooting, and production support. Manages vendors, clients, budgets, risks, schedules, communications, and project closure. Develops WMS customizations and business requirements, coordinates cross-functional teams, mentors junior staff, and ensures successful, on-time deployments.

Build and deploy agentic finance AI solutions: design voice‑optimized prompts and conversational flows, integrate LLMs (Gemini/GPT/Claude) with RAG and enterprise data, implement voice/speech/telephony integrations, automate workflows and reporting using Python and SQL, and collaborate across product, engineering, and operations to tune and monitor production ML systems.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

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.