Top SQL Jobs in Pune

The Technical Analyst will design and develop secure C# .NET applications, mentor team members, manage tasks, and ensure high-quality product delivery while identifying and addressing technical debt.

Lead design and delivery of modern cloud data platforms and analytics solutions. Translate business needs into scalable, secure architectures, guide implementation teams, support pre-sales, mentor engineers, and contribute reusable patterns, documentation, and practice standards.

The Data Engineer will translate analytical requirements into scalable data products, handle data modeling in Snowflake using dbt, manage data pipelines with Airflow, ensure data quality, and collaborate with cross-functional teams.

Lead end-to-end capacity planning, forecasting, optimization and expansion for multi-vendor fixed networks (transport, aggregation, access). Identify bottlenecks, govern KPIs, drive traffic engineering and redundancy, translate business demand into capacity requirements, collaborate with vendors, and use analytics/automation to optimize cost and scalability.

Define and execute roadmap for AI-powered personalization, recommendations, and search. Write PRDs and user stories, partner with Engineering/Design/Data, improve integrations and APIs, run A/B tests and analytics, and collaborate with Sales and Customer Success to optimize merchant conversion, AOV, and engagement.

Enable customers and prospects to use Confluent Cloud by producing code samples, guides, articles, webinars, and one-on-one technical support. Build and maintain examples integrating Kafka and Flink with AI/ML tools, collaborate with product and engineering teams, troubleshoot performance, and engage in community forums to educate and onboard users.

Lead design and implementation of Saviynt Identity Governance solutions for enterprise clients. Run design workshops, configure Saviynt modules, develop/customize connectors, build workflows and integrations (REST/SCIM), and produce dashboards and compliance reports to support IAM and audit requirements.

The Finance Analytics Manager will design and develop finance analytics solutions leveraging SQL, Alteryx, and Python, while mentoring team members and collaborating with stakeholders.

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.

Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks, and Snowflake. Define architecture standards, guide technical decisions, and implement solutions for data governance, security, and analytics.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

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, 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.

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.

The Data Engineer will support data governance practices by onboarding datasets, maintaining metadata, monitoring data quality, and assisting in engineering tasks like writing SQL queries and using data tools.

Design, build, and productionize end-to-end cloud data solutions and pipelines for enterprise clients. Translate business needs into technical architectures, ensure performance, security, and scalability, lead technical reviews, produce documentation and runbooks, mentor peers, and collaborate with client and cross-functional teams to deliver consulting engagements on time and with measurable value.

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.

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

The role involves validating Guidewire PolicyCenter functionalities, conducting system integration testing, managing defects, and collaborating in Agile teams.

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

The Software Engineer will develop high-quality responsive UIs for web/mobile, conduct user research, optimize applications, troubleshoot issues, and conduct code reviews.

Provide technical support and troubleshooting across PostgreSQL/TimescaleDB and full platform stack. Diagnose and optimise database performance, analyze query plans, implement TimescaleDB features, collaborate with customers and engineering, and document solutions. Participate in occasional on-call coverage and help improve platform reliability.

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

Join the Finance Analytics team as a Senior Data Analyst to drive FP&A initiatives through data analytics, reporting, and AI-driven automation, collaborating with global stakeholders to deliver insights and support financial planning processes.

The Solutions Architect will design and implement data solutions, mentor engineers, ensure performance and security, and engage with clients while delivering technical presentations and documentation.