Top SQL Jobs in Pune

Lead Tableau-based BI development, including dashboard design, development, deployment, administration, security, data modeling, and data blending. Collaborate with project managers and management to gather requirements, resolve issues, deliver projects on schedule, maintain quality, and contribute innovative visualization ideas. The role requires strong Tableau Server and Desktop expertise, SQL and PL/SQL knowledge, database experience, analytical ability, and leadership through professional conduct.

Design, develop, optimize, and maintain scalable data pipelines using Databricks, PySpark, Delta Lake, SQL, and Azure services. Responsibilities include data modeling, ETL development, governance, troubleshooting, root-cause analysis, production-code optimization, and performance improvement. The role collaborates within an agile Scrum team, independently delivers production-ready code, contributes to architecture discussions, and uses DevOps practices such as Git and CI/CD.

Design, develop, optimize, and maintain scalable data pipelines using Databricks, PySpark, Delta Lake, SQL, and Azure services. Apply ETL, data modeling, governance, and DevOps practices while troubleshooting data issues, conducting root-cause analysis, and improving pipeline performance. Collaborate within an agile scrum team, independently deliver production-ready code, and contribute to architecture and design discussions.

Develop and deliver BI dashboards and reports using the Power BI ecosystem. Responsibilities include connecting, importing, shaping, and transforming data; creating visualizations; scheduling automated refreshes; supporting data integration and testing; and working with SQL Server, SSRS, data warehouses, and data models. The role also requires familiarity with Tableau and other visualization tools, plus strong analytical, creative, communication, and organizational skills.

Design and maintain scalable data pipelines using Python and PySpark; build FastAPI REST APIs; develop SQL queries and transformations; apply data warehousing, modeling, and ETL/ELT practices; support CI/CD deployments; perform data profiling and quality checks; gather requirements; document solutions; and contribute to architecture and process improvements.

Lead the design, development, and delivery of Power BI dashboards and business intelligence services. Transform, integrate, model, and visualize data; develop reports; schedule automated refreshes; and support testing and security. The role requires data warehousing and BI development experience, strong SQL and data modeling skills, familiarity with SQL Server and Oracle, and exposure to visualization tools such as Tableau, QlikView, and Spotfire.

Lead architecture and full-stack development across web, mobile, DevOps, automation, and AI initiatives. Build frontend applications with React, backend services with Node.js and Django, REST APIs, and database solutions. Design and maintain cloud deployments across Azure and AWS, infrastructure as code, and CI/CD pipelines using GitHub Actions, Terraform, and CloudFormation. Use AI-assisted development tools and private LLMs to improve business efficiency. Work flexibly across India, UK, and US time zones.

Build and maintain full-stack web applications using React or Angular and .NET, Node.js, Laravel, or similar frameworks. Integrate LLM-powered features and use AI coding tools and autonomous agents to accelerate development, testing, and prototyping. Contribute to cloud infrastructure, deployments, databases, APIs, microservices, performance optimization, and solution design. Collaborate with AI specialists, international stakeholders, and distributed teams in Agile environments while maintaining high-quality, maintainable code.

Develop and maintain responsive front-end interfaces and scalable back-end APIs for an AI-enabled web platform. Integrate LLM-based features with AI specialists, manage relational, NoSQL, and vector databases, and support cloud deployment on Azure or AWS. Responsibilities include performance optimization, testing, troubleshooting, code reviews, agile collaboration, and full feature delivery from requirements through deployment.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

Owns technical direction for enterprise agentic AI solutions across application, cloud, data, and AI layers. Leads architecture decisions, deployment standards, security reviews, reusable infrastructure, CI/CD practices, and production monitoring. Mentors Forward Deployed Engineers toward independent delivery, guides design and code reviews, prototypes high-risk components, and resolves critical blockers. The role emphasizes technical leadership, scalable deployment capability, cloud cost discipline, agent evaluation, guardrails, and operational reliability rather than sustained feature development.

Lead the design and implementation of AI-agent-driven end-to-end testing workflows. Architect scalable UI and API automation frameworks, establish validation guardrails, assess AI-generated code and tests, and mitigate AI security risks. The role also involves defining test specifications, measuring productivity impact, mentoring QA engineers, and integrating modern QA, CI/CD, DevOps, and distributed-systems practices.

Build, optimize, and maintain scalable production data pipelines using Python, PySpark, Databricks, and SQL. Develop real-time streaming solutions with Apache Kafka, use workflow orchestration and CI/CD practices, and implement data observability, monitoring, and quality frameworks. The role requires production deployment experience, DevOps or infrastructure-as-code exposure, and strong data processing expertise in Azure Databricks.

Lead end-to-end delivery of data, cloud, and analytics projects. Responsibilities include managing stakeholders and clients, coordinating business and technical teams, driving AWS, Azure, Snowflake, and Databricks initiatives, overseeing risks and timelines, and maintaining project reporting and delivery governance. The role also requires effort estimation, cloud migration experience, Agile or Scrum delivery, team leadership, and strong communication and decision-making skills.

Develop and maintain ETL pipelines using Informatica PowerCenter and IICS. Integrate data from databases, files, and APIs; optimize performance; support requirements analysis and solution design; and ensure data quality, testing, documentation, and effective processing of large datasets.

Develops and optimizes Oracle PL/SQL database solutions, including procedures, functions, packages, triggers, and complex SQL queries. Supports ETL and data-processing workflows, troubleshoots database issues, and ensures data quality and performance. Collaborates with business and technical teams to understand requirements and deliver enterprise data and analytics solutions.

Develop Power BI dashboards, reports, and data models using DAX and Power Query. Integrate data from SQL, Excel, and APIs; optimize performance for large datasets; ensure data accuracy, security, and governance; and collaborate with stakeholders to gather requirements. The role also involves data visualization, ETL and transformation, row-level security, and potential use of Azure Data Factory and Power Platform.

Design and deliver scalable end-to-end data pipelines, analytics platforms, data models, and enterprise dashboards. Build and optimize ETL/ELT solutions using Python, PySpark, and SQL; work with cloud platforms and data warehouses; ensure data quality, governance, security, and performance. Lead technical teams, review designs, mentor developers, engage clients, conduct requirements workshops, and provide solution estimates and architecture approaches.

Leads end-to-end delivery of data engineering, analytics, and BI projects, managing timelines, quality, risks, estimates, and outcomes. Manages and mentors technical teams while providing hands-on technical guidance in SQL, data warehousing, ETL, programming, and BI tools. Coordinates with clients and global stakeholders, drives process improvements, and ensures delivery excellence in Agile, client-facing environments.

Build and maintain scalable ETL/ELT pipelines and modern data platforms. Integrate data from databases, APIs, files, and cloud sources; ensure data quality, reliability, and performance; optimize queries, pipelines, and storage; and collaborate with analysts, architects, and stakeholders.

Provide hands-on Azure platform engineering: provision/configure Azure services (Data, App Services, AKS, AI/ML), develop Terraform and ARM templates, manage CI/CD with GitHub/Azure DevOps, operate Azure Databricks/Unity Catalog, register APIs with Kong, troubleshoot platform issues. Requires strong C/C++ and Stratus VOS/Unix skills; Snowflake and payment-card domain knowledge are nice-to-have.

Build and maintain scalable React web applications and secure backend systems using Python or Node.js and AWS. Design RESTful and GraphQL APIs, optimize SQL and NoSQL data solutions, manage CI/CD pipelines, automate workflows, and uphold testing and code-quality practices. Collaborate with cross-functional teams, participate in code reviews, mentor junior developers, troubleshoot complex challenges, and contribute to continuous technology and process improvements.

Build and ship fullstack digital products using AI-assisted development tools. Responsibilities include backend services, APIs, data models, user-facing features, cloud infrastructure, CI/CD pipelines, databases, deployments, workflow automation, and AI integrations such as LLM APIs, RAG pipelines, and agentic workflows. Collaborate with designers, product managers, and developers to rapidly prototype, gather feedback, and deliver scalable client solutions.

Perform on-page and off-page SEO, support and develop an existing PHP-based website, provide internal IT support, create and edit website and social media content, and manage e-commerce product data entry, SKU assignment, uploads, and configuration.

Lead data engineering design and delivery for CRM data platforms supporting member aggregation, segmentation, audiences, campaigns, reporting, and Connect use cases. Build and optimize SQL workflows across MySQL and Redshift, operate Iceberg-based lakehouse models, own pipeline and infrastructure reliability, and mentor engineers. Partner with Product and engineering teams using Agile, Lean, DevOps, CI/CD, and modern data quality practices.