Top SQL Jobs in Pune

The Finance Analytics Engineer develops finance-focused analytics solutions using data engineering and a solid understanding of financial data while delivering insights to stakeholders and automating data processes.

Manage monthly billing reconciliation and invoice generation across business lines; coordinate with Operations, Accounts, Collections, and auditors; assist month-end close and revenue estimates; maintain documentation for audits and compliance; review and book employee expenses; perform monthly expense analysis and ad hoc reporting; provide administrative support. Role requires night-shift flexibility to support global clients.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

Design, train, validate, deploy and monitor ML models (pricing, dispatch, fraud, personalization). Perform EDA, feature engineering, statistical analysis, production-quality Python/SQL development, collaborate with product and engineering, and drive data quality, documentation, and knowledge sharing across the Data & AI domain.

Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.

Lead design and delivery of end-to-end prototypes and production-ready solutions for emerging AI initiatives. Drive AI R&D, mentor engineers, establish engineering standards, communicate architecture to stakeholders, and enable rapid experimentation amid high ambiguity.

Design and present scalable Databricks Lakehouse architectures, lead data engineering and ML projects, build reference architectures and demos, validate cloud integrations, and support sales through technical account planning and customer engagement.

Design, develop, maintain and support payment and finance applications using Visual Basic and Java. Contribute across the SDLC, troubleshoot and resolve defects, write tests, participate in code reviews, support integrations with databases, MQ and file interfaces, and assist with production support and technical documentation while collaborating with Product, QA and Support teams.

Lead SEM optimization and growth across Google Ads by designing experiments, conducting keyword/audience research, managing budgets and smart bidding, analyzing performance with Excel, SQL, Power BI and Google Analytics, collaborating cross-functionally, and reporting insights to improve ROAS and campaign efficiency.

Design and implement critical processes for a subscription billing system while collaborating with cross-functional teams. Requires expert SQL skills and familiarity with various databases and DevOps methodologies.

Design, develop, and maintain Power BI dashboards and data models; analyze HR metrics (talent acquisition, retention, performance, D&I); automate HR workflows with Power Automate; translate stakeholder needs into technical requirements; provide data-driven recommendations and collaborate on monthly activities and projects to support strategic HR decisions.

The Migration Engineer provides L2/L3 application support, participates in migration and project meetings, and acts as a technical contact for customers, ensuring system stability during migrations.

Responsible for software development lifecycle tasks including requirements engineering, system design, testing, and collaboration in international teams.

Lead design, development, testing, and maintenance of complex software applications. Collaborate with cross-functional teams, optimize performance, prepare technical documentation, preprocess data, provide technical support, and adopt responsible AI tools and workflows.

As a Technical Product Manager, you will manage the product roadmap and deliver features for audit, traceability, and observability, focusing on technical requirements and collaboration with various teams.

Lead trade integration and processing for fund administration: design, implement, test and troubleshoot ETL/integration solutions, ensure SLA-driven transaction processing, resolve trade breaks, drive automation and process improvements, liaise with client/service teams, and support product enhancement projects.

Design, develop, and maintain interactive Tableau dashboards and reports. Translate business needs into technical specifications, optimize SQL ETL queries, ensure data accuracy and performance, and collaborate with stakeholders to deliver actionable insights.

Join AlgoSec's Devices team to design and develop server-side systems that integrate vendor network-security products (firewalls, routers), model configurations and topology, and own end-to-end processes in a Linux/Docker environment.

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 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.

Roles include Customer Success Specialist and Technical Support Engineer, focusing on retention, renewals, and technical issue resolution in SaaS.

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.

The Senior Engineer - AVP role involves designing and developing software solutions, collaborating with teams, and ensuring code quality and security, while driving automation and process optimization.

Design, develop, and enhance software solutions while collaborating with product teams, adhering to secure coding practices, and managing risks effectively.

The Engineer - AI Governance will design and develop software solutions, collaborate with teams, ensure quality and security, and drive automation and optimization strategies.