Top SQL Jobs in Pune

The Lead Auto QA Engineer will develop test scripts, analyze regression failures, debug script issues, and enhance regression coverage within the financial services sector.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

Responsible for building and maintaining data architectures, pipelines, and systems for data analysis and processing. Collaborate with data scientists on machine learning models and ensure data quality and security.

The Application Support Analyst monitors critical technology infrastructure, resolves complex technical issues, conducts preventative maintenance, and improves service efficiency through automation and effective communication with stakeholders.

The role involves designing and developing high-quality software solutions, collaborating with teams, ensuring secure coding, and leading complex tasks and teams.

Design, develop, and deliver scalable, secure full-stack software using Java and Spring. Collaborate with product, design, and engineering peers, perform code reviews, implement unit testing and CI practices, monitor performance and security, and mentor colleagues while aligning solutions with business objectives.

The Senior Integration Engineer will develop integrations for SaaS applications, ensuring operational efficiency, mentoring engineers, and maintaining product quality while adhering to engineering standards.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

Provide application support by diagnosing and resolving issues across critical business systems. Collaborate with teams to troubleshoot, monitor performance, document solutions, and drive continuous improvement, becoming an SME for supported applications.

Test and validate software applications through manual and automated testing. Create test plans/cases, execute functional, regression, integration, and UAT tests, log defects, collaborate with developers and stakeholders, and produce test reports. Participate in Agile ceremonies and help improve QA processes.

Design and execute manual and automated tests, create test plans/cases, track defects, perform integration/regression/API testing, collaborate with developers and stakeholders, and report test results to ensure software quality.

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.

Lead Revenue Operations analytics: partner with VP Revenue to implement forecasting, pipeline management, KPIs, and CRM best practices; build and mentor a RevOps analytics team; improve sales processes, reporting and commissions; support marketing with attribution, lead scoring, and campaign optimization to drive revenue growth.

Design and implement backend services, APIs, frontend applications and integrations across the full stack. Lead architecture and complex development tasks, build new products and features from design to delivery, and manage CI/CD, deployment, microservices, containerized environments and multiple databases.

Design and implement scalable backend services and APIs using C#/.NET. Build microservices, integrate databases and messaging systems, containerize with Docker, participate in CI/CD and release automation, ensure testable, maintainable code, and collaborate on high-scale distributed systems.

Design, build, and maintain scalable AWS data pipelines and CI/CD for data workflows. Extract and integrate data from SAP HANA, BW, and ABAP. Implement automated deployments, monitor pipelines, resolve incidents, perform root cause analysis, and enforce data governance, security, and performance optimization.

Partner with marketing stakeholders to analyze full-funnel performance, build dashboards, activate data for campaigns and segments, measure effectiveness, and provide optimization recommendations to improve leads, conversions, retention, and ROI.

Design, code, test, and maintain full-stack web and mobile software solutions. Build front-end user interfaces and backend business logic, develop RESTful APIs, manage databases, write and optimize SQL, use version control, testing frameworks, CI/CD and cloud deployments, participate in code reviews, and collaborate in Agile teams.

Design, develop, and maintain Power BI dashboards and data models. Build ETL with Power Query, write complex DAX and SQL, implement RLS, optimize performance, and collaborate with stakeholders to deliver analytics and insights.

Design, develop, and maintain Power BI dashboards and reports; build data models, ETL processes, and complex DAX measures; ensure data quality and Row-Level Security; collaborate with stakeholders to translate requirements and provide analytical insights; optimize report performance and troubleshoot issues.

The Senior Data Engineer leads multiple teams, designing scalable ELT pipelines, ensuring data governance, and optimizing data solutions in cloud-based environments, especially using Snowflake.

Design, develop, and maintain scalable, secure data architectures and pipelines. Collaborate with product, design, and data science to build data warehouses/lakes, processing algorithms, and deploy ML models. Ensure code quality via unit testing, secure coding, and participate in code reviews. Lead or advise teams, manage risk and controls, and contribute to cross-functional delivery and technical excellence.

The Tech Lead/PM will design, develop, and improve software, ensuring high-quality solutions, collaboration, secure coding, and effective testing practices.

Design, develop and deliver scalable, secure software using Java/Spring, cloud, containerization, CI/CD and messaging. Collaborate cross-functionally, lead or mentor teams, enforce secure coding and testing, and contribute to architecture, risk controls and operational excellence in banking products.