Top SQL Jobs in Pune

Design, develop and deliver scalable, secure full-stack Java applications and microservices. Collaborate with product, design and engineering peers, perform code reviews, implement unit and integration tests, and use CI/CD and DevOps practices to ensure high-quality production deployments.

Lead the architecture and hands-on delivery of GCP data and generative AI solutions. Build scalable batch and streaming pipelines, REST APIs, RAG systems, agentic workflows, and cloud infrastructure. Own production deployment, CI/CD, security, governance, testing, resilience, monitoring, and L3 issue resolution while providing technical guidance on complex engineering decisions.

Designs, programs, tests, commissions, and supports industrial control systems in regulated environments. Responsibilities include configuring Allen-Bradley PLCs, PlantPAx modules, Ignition SCADA and HMI systems, alarms, reporting, historians, network integrations, and FAT/SAT documentation. The engineer collaborates with process, facilities, and validation teams to deliver compliant biopharmaceutical manufacturing and building management solutions.

Build secure, scalable full-stack applications and data-intensive systems on Google Cloud. Develop frontend interfaces, Python services, REST APIs, batch and streaming pipelines, analytical models, and generative AI solutions including RAG and agentic workflows. Manage infrastructure, CI/CD, observability, security, testing, production readiness, incident resolution, governance, and cloud cost optimization. Contribute to architecture, technical standards, documentation, code reviews, and cross-functional engineering collaboration.

Build secure, scalable full-stack applications, APIs, cloud data pipelines, and AI capabilities on Google Cloud. Responsibilities include frontend and backend development, batch and streaming data engineering, RAG and agentic AI integration, infrastructure provisioning, CI/CD, observability, production support, security, testing, and architecture contributions.

Leads architecture and hands-on delivery of GCP data and generative AI solutions. Designs RAG systems, agentic workflows, conversational AI applications, REST APIs, and scalable batch and streaming pipelines. Uses Python, SQL, Vertex AI, BigQuery, Cloud Composer, Cloud Run, Terraform, and CI/CD tooling. Owns infrastructure, security, governance, testing, deployment, monitoring, and L3 production support while providing technical guidance on complex engineering decisions.

Lead design, build and modernize enterprise data platforms and pipelines, migrate on-prem processing to AWS, ensure secure, high-quality data delivery, collaborate with data scientists on ML deployment, and provide strategic leadership or subject-matter expertise.

Leads full-stack design, development, debugging, testing, and maintenance of Vertiv’s cloud platform for remote services. Builds Angular and .NET Core solutions, develops reusable components and prototypes, collaborates on architecture and interfaces, estimates work, manages user stories, mitigates risks, and provides technical recommendations. The role requires expertise in web development, databases, REST services, software design patterns, cloud platforms, security principles, and agile collaboration.

Develop PRASE scripts from specifications, partnering with business analysts and customers to understand requirements. Perform SQL-based data analysis, unit testing, documentation, effort estimation, and application configuration. Apply business logic to meet customer objectives, with insurance policy administration experience preferred. The role requires a mathematics-related degree and 5–10 years of software development experience, ideally supporting life, health, or annuity insurance products and production support projects.

Investigate and neutralize cyber threats within a 24/7 MDR service. Responsibilities include handling escalations, monitoring security logs, analyzing endpoint and network data, researching indicators of compromise and vulnerabilities, supporting incident response, creating client cases and reports, tracking threat remediation, training analysts, and improving security operations processes.

Leads the design, development, and maintenance of scalable ETL/ELT pipelines and data products across distributed, multi-cloud environments. Defines data engineering architectures, resolves complex production issues, and designs efficient data solutions. Provides technical leadership and mentorship while collaborating with architects, engineers, and business stakeholders. Requires expertise in big data, AWS services, data warehousing, databases, data modeling, orchestration, streaming, security, observability, version control, containers, and modern development practices.

Designs, builds, deploys, and supports secure, scalable cloud data solutions and pipelines for enterprise clients. Translates business requirements into data architectures, integration patterns, and models; ensures performance, reliability, governance, and documentation. Provides technical leadership during reviews and workshops, collaborates with engineering and analytics teams, contributes reusable accelerators and best practices, mentors colleagues, and manages client engagements through delivery.

Develop and maintain data pipelines, models, database structures, and orchestrations on Microsoft Azure. Transform vessel, project, campaign, and third-party data into high-quality datasets and reports. Collaborate with business stakeholders to refine requirements, support data scientists and report developers, and design modern cloud data solutions. The role requires strong data modeling, ER modeling, SQL or programming experience, and at least five years of relevant experience.

Build and maintain cross-platform iOS and Android applications with React Native. Develop features, optimize performance, resolve bugs, conduct code reviews, and collaborate with product, design, and engineering teams. Implement secure storage, authentication, encryption, observability, testing, and production monitoring. Support mobile release management and mentor peers on engineering best practices.

Design and develop scalable data-intensive applications and cloud solutions using RDBMS, SQL, Python, and Google Cloud. Build data pipelines and integrations with Spanner, Datastream, Dataflow, and CDC. Create data models, optimize production code, manage Git workflows and CI/CD releases, and apply software engineering practices for security, scalability, testing, and observability. Collaborate with architects, engineers, and business teams to deliver reliable technical solutions.

Test insurance and reinsurance risk-modeling software in an agile environment. Responsibilities include analyzing requirements, creating and executing test plans, automating test cases, debugging issues, maintaining acceptance and regression repositories, documenting defects and test artifacts, tracking results, communicating status, supporting product and development teams, improving QA processes, and training new hires.

Designs and publishes Power BI dashboards and recurring business reports using data from SQL, Azure Data Lake, Snowflake, Excel, and other sources. Creates and optimizes SQL tables, develops calculated fields, monitors data update failures, and resolves root causes. Analyzes data to identify business growth opportunities and collaborates with business leaders to understand reporting needs. Uses SharePoint, PowerApps, and Excel to support reporting workflows.

Develop, test, deploy, and support scalable Java and Spring-based Securities Finance systems. Build distributed services, APIs, messaging and processing components; collaborate with global technology teams; participate in code reviews and releases; diagnose production issues; and improve architecture, automation, observability, performance, and resilience.

Develop and support SS&C Syncova margin calculation systems for global equities Prime Services and swaps. Responsibilities include implementing margin rules, integrating market and operational data feeds, extracting data to data warehouses, developing reports, and supporting production systems. The role requires Java, SQL, Linux, and shell scripting expertise, financial industry experience, strong analytical and communication skills, and collaboration with swaps, operations, middle office, and technology teams.

Prepares and publishes recurring business reports, designs Power BI dashboards, analyzes data for growth opportunities, creates and optimizes SQL tables and queries, monitors data update failures, and collaborates with business leaders to fulfill reporting needs. Uses Azure Data Lake, Snowflake, Excel, SharePoint, and PowerApps while meeting reporting SLAs and supporting business goals.

Develop and support Salesforce Marketing Cloud solutions, including Journey Builder journeys, Automation Studio automations, data extensions, email templates, landing pages, AMPscript, SSJS, integrations, reporting, and deliverability monitoring. Troubleshoot production incidents, perform testing and root-cause analysis, maintain governance and documentation, participate in Agile releases, and train business users. The role requires strong Salesforce Marketing Cloud development, administration, data management, SQL, integration, and stakeholder communication skills.

Perform advanced analytics on large datasets, design and build automated data pipelines, investigate data quality and lineage, and create interactive dashboards. Translate insights into actionable campaign and process recommendations, partner with stakeholders and support campaign delivery and BAU operations.

Leads investigations and response for active cyber incidents affecting MDR customers and MSPs. Responsibilities include advanced endpoint and network analysis, identifying access and lateral movement, containing malware and ransomware, guiding remediation, mentoring analysts, documenting findings, creating technical reports, and collaborating with detection engineering and threat hunting teams. The role requires customer engagement, rapid decision-making under pressure, and occasional weekend or holiday availability.

Lead and scale data engineering teams, mentor engineers, define roadmaps, and own the architecture, delivery, and operation of data and financial reporting platforms. The role requires hands-on technical leadership across data pipelines, warehouses, event-driven systems, APIs, microservices, testing, and system design. The manager will collaborate with product and leadership, support recruiting, make architectural decisions, and participate in incident response and on-call rotations.

Develop and maintain large-scale .NET and SQL Server applications. Build data stores, queries, stored procedures, views, triggers, and database schemas. Troubleshoot performance, capacity, and data security issues, while advising business and development teams on database changes. The role also involves analyzing complex systems, recommending solutions, providing technical guidance, and potentially contributing to C# and .NET development.