Top SQL Jobs in Pune

Lead post-sale technical onboarding for enterprise customers: design secure cloud network architectures, provision AuraDB or self-managed clusters, implement IAM/SSO and system hardening, architect data ingestion pipelines, optimise Cypher performance, configure observability, produce architecture deliverables, and transition customers to operations.

Lead Binance's Generative Engine Optimization (GEO) to maximize citation authority across major LLMs. Build llms.txt, structured data, and knowledge graph signals, create measurement and attribution frameworks, run prompt testing and citation audits, analyze log/query data for crawler behavior, and translate gaps into prioritized content and technical requirements across Content, Tech, and Data teams.

Design, develop, customize, and optimize Sage Intacct platform solutions and integrations. Implement automation (Sage Triggers, Smart Integration), build API/middleware integrations (including planned Salesforce integration), troubleshoot issues, advise on architecture and scalability, and maintain technical documentation to support finance processes.

The Program Manager will enhance Sprinto's customer journey by managing deployment projects, leading cross-functional initiatives, and improving customer lifecycle processes through data-driven insights and stakeholder management.

Lead full-funnel growth across Southeast Asia: remove onboarding friction, run multi-channel acquisition campaigns, own campaign P&L, collaborate with product for growth loops and feature launches, and build segmentation and lifecycle frameworks to increase activation, retention, and LTV.

The Senior Data Scientist will design and implement data pipelines, develop models for player engagement, and collaborate with teams to deliver insights and solutions.

Analyze large transaction datasets to produce cleansed inputs for M&A models and financial analyses (QoE, NWC, cash flows). Use data management (Alteryx, Hadoop, SQL), statistical tools (SPSS, Minitab) and programming (Python, R) to identify trends, risks, and opportunities. Translate findings into clear recommendations for due diligence and deal lifecycle decisions, leveraging analytics platforms (SAS, Azure) and presenting insights to clients and internal teams.

Support the database operations team by executing SQL commands, managing database users, performing backups, scheduling jobs, and optimizing queries.

Design, build, and maintain scalable, high-performance cloud services and REST APIs for a cloud-scale Data Security Posture Management platform. Participate in planning, estimation, code reviews, and sprints; collaborate with product; support and troubleshoot production issues; and improve processes, CI, and reliability while working across front-end, back-end, and services.

Lead design, implementation, and optimization of Salesforce Marketing Cloud (including Marketing Cloud Next). Build multi-channel campaigns and journeys, manage data integrations and segmentation, develop dynamic content (AMPscript, SSJS, HTML/CSS, SQL), monitor KPIs, and mentor team members to deliver personalized, scalable marketing automation solutions.

Lead end-to-end delivery and optimization of Salesforce Marketing Cloud/ExactTarget solutions: translate business requirements, design journeys and segmentation, build AMPscript/SSJS/SQL templates and automations, integrate with Salesforce CRM and external systems, execute QA and campaign analytics, mentor juniors, and enforce platform governance.

Lead CRM and loyalty strategy and roadmap, manage Salesforce Marketing Cloud implementations and integrations, execute multi-channel campaigns, drive segmentation and personalization, own performance analytics and ROI, and lead cross-functional teams and external partners to grow revenue and customer lifetime value.

The Senior Data Scientist & Engineer will build and manage data infrastructure, analyze product usage, build models, track metrics, run experiments, and communicate insights to guide product decisions.

Design, develop, and optimize Microsoft SQL Server databases. Create and maintain stored procedures, functions, views, triggers, and indexes. Perform query tuning, ETL/data migration, troubleshooting, and support application and BI teams. Ensure database security, integrity, availability, and maintain technical documentation.

Develop and maintain P&A solutions using Oracle SQL/PLSQL and Unix shell scripting. Work on assortment planning, merchandise financial planning, size/pack optimization, allocation, forecasting and replenishment. Collaborate with stakeholders and apply domain product expertise. Java or mainframe (DB2/COBOL) experience and Oracle RMS 14 knowledge are pluses.

Design, develop, and execute automated test scripts (UI and functional) using Java/Selenium and Python. Build and maintain automation frameworks, write test scenarios/cases, and validate complex SQL queries across Oracle/Postgres. Use Unix/shell scripts, JIRA, and Agile processes; reverse-engineer existing applications, analyze results, and report defects. Collaborate with developers to ensure quality and performance; optionally work with PowerBI, Snowflake, and performance testing.

Develop and maintain .NET web applications using C#, .NET MVC/Core and React; build/consume SOAP/REST APIs and microservices; work with SQL Server, Windows/IIS, legacy code; apply Agile, TDD, code reviews and deployment tooling.

Design and build data-intensive applications, ETL pipelines, and analytics reports. Develop complex PL/SQL queries, data models, and data warehouse solutions on Exadata. Integrate data using ETL tools, schedule batch jobs with Control-M, and produce reports via PowerBI/Tableau/OBEI. Collaborate with technical leads and stakeholders to ensure quality, stability, and continuous improvement.

The Technical Services Specialist supports partners by troubleshooting software issues, documenting interactions, and providing solutions in a timely manner.

Design, develop, and support analytics solutions including dashboards, reports, and data models. Clean and transform data, ensure data quality and governance, partner with stakeholders to gather requirements, apply AI prompting/tools to accelerate delivery, and implement process and change improvements for scalable, production-ready analytics.

Support and enhance Oracle EBS R12 and Oracle Cloud ERP Finance modules: troubleshoot production issues, develop PL/SQL packages, reports and data models, assist integrations, participate in testing, documentation, code reviews, and quarterly updates while collaborating with analysts and senior developers.

Senior software test analyst who writes and executes test cases, reviews change requests and acceptance criteria, reports and retests defects (JIRA/Zephyr), supports BAU and project testing, and contributes to process improvements and sustainability initiatives.