Top SQL Jobs in Pune

Develop and deploy scalable, distributed cloud applications for a manufacturing data and analytics platform. Responsibilities include writing testable .NET code, creating unit, integration, and functional tests, implementing modern distributed architectures, and contributing within an agile Continuous Delivery team. The role may also involve microservices, APIs, databases, containers, messaging platforms, Azure cloud services, security practices, and frontend troubleshooting.

Leads commercial data science initiatives using machine learning, forecasting, optimization, and predictive modeling to improve pricing, sales, customer prioritization, revenue forecasting, and commercial decision-making. Translates business questions into data science solutions, validates and monitors models, partners with AI and platform teams on production deployment, evaluates third-party analytics solutions, and communicates insights to executives and business stakeholders.

Analyze large structured and unstructured datasets, build and evaluate machine learning and statistical models, perform EDA and hypothesis testing, create visualizations and dashboards, collaborate with product and business teams, and document and improve analytical solutions to drive business decisions.

Lead bank liquidity risk reporting and management by developing funding strategies, monitoring liquidity metrics, assessing regulatory and behavioral impacts, managing intra-group funding, and designing stress-testing methodologies. The role advises senior stakeholders, ensures regulatory and governance compliance, drives automation and analytical improvements, and develops tools to strengthen liquidity resilience and decision-making.

Leads Oncology commercial analytics and brand strategy insights across inline and pipeline assets. Translates business priorities into analytical plans, oversees patient journey and real-world data modeling, supports precision medicine and biomarker initiatives, and applies statistical, machine learning, and AI methods. Manages 15+ team members and cross-functional insights pods while partnering with global, regional, marketing, clinical, medical affairs, and business development stakeholders. Drives scalable analytics, GenAI experimentation, prioritization, value tracking, and executive decision-making.

Build and maintain cloud data architectures, pipelines, warehouses, and lakes that securely process large-scale data. Develop data-processing and analysis algorithms, support container platforms, and collaborate with data scientists to deploy machine-learning models. The role requires AWS, Databricks, distributed computing, Hadoop, SQL, shell scripting, and Python expertise. Responsibilities also include operational excellence, risk and controls, stakeholder collaboration, problem-solving, and potentially leading and developing team members.

Leads software and platform engineering for warehouse automation systems. Designs Java applications, Kafka-based event-driven integrations, APIs, and containerized deployments while improving scalability, reliability, observability, and DevSecOps practices. Partners with architects, SREs, and operational technology teams to evolve warehouse control platforms, integrate robotics and PLC-based systems, mentor engineers, define technical roadmaps, and support implementation and commissioning activities.

Build ETL pipelines, data crawlers, warehouse models, and optimized SQL processing scripts for Decision Intelligent applications. Analyze complex use cases, troubleshoot skill lifecycles, document technical solutions, and collaborate with Solution Architects. The role requires BI, data warehousing, columnar database, API, and prompt engineering expertise, plus experience in Agile/Scrum environments and operational controls.

Design, build, and maintain Power BI dashboards and MI reports to monitor ITSM processes and service availability. Drive process workflow modelling, knowledge management, automation/AI initiatives, stakeholder engagement, and continual improvement to meet SLAs and quality standards.

Develop firmware, embedded components, and Linux applications for access appliances. Responsibilities include software requirements analysis, architecture and design, feature development, debugging, testing, documentation, CI/CD support, quality collaboration, and mentoring. The role requires extensive experience with C/C++, Golang, Python, Linux system programming, REST APIs, Angular, containers, databases, and embedded build processes.

Leads major incident response, L3 application escalations, root-cause analysis, reliability engineering, and high-risk change assessments. Tunes Java and .NET applications, validates disaster recovery, develops automation and observability frameworks, improves MTTR, and mentors support teams. Requires expertise in distributed systems, middleware, scripting, databases, monitoring tools, regulated production environments, and on-call operations.

Build and maintain system software and infrastructure for deploying, benchmarking, automating, and qualifying AI applications and models. Responsibilities include supporting inference backends, managing local model repositories, developing performance and correctness measurement systems, processing workload metrics, implementing diagnostics and observability, and maintaining automated build, integration, deployment, and qualification pipelines. The role also involves debugging system architectures, analyzing bottlenecks, and improving scalability across Linux and Windows environments.

Leads hands-on development of scalable data engineering solutions using Python, Snowflake, Snowpark, and AWS. Designs serverless applications, stored procedures, and orchestrated DAG-based pipelines; optimizes performance and resolves production issues. Provides architectural guidance, establishes engineering standards, mentors engineers, collaborates with stakeholders, and contributes to platform modernization and technical roadmaps.

Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.

Deploy and implement Tufin network security solutions for customers across planning, design, installation, configuration, testing, integrations, documentation, training, and adoption. The role designs customizations using Python, APIs, GraphQL, and SQL; provides technical consulting, health checks, best-practice guidance, and customer support; and collaborates with account and project teams. Strong networking, firewall, cloud, Linux administration, communication, presentation, and customer-facing skills are required, with willingness to travel.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Develop, maintain, and support AS400/iSeries applications using RPG (ILE and free-form), ACOM, and ShowCase Query. Participate in design, testing, Agile delivery, production support, change control, and SOX/IT security compliance. Collaborate with business and technical teams to estimate work, triage defects, and deploy changes to production.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

Manage and optimize paid advertising campaigns across Meta and Google to drive profitable ticket sales. Responsibilities include budget allocation, A/B testing, audience and keyword management, conversion tracking, ROAS and CPA optimization, reporting, dashboard maintenance, and post-campaign analysis. The role also requires Arabic and English ad copy development, AI-assisted workflow improvements, and collaboration with creative, CRM, SEO, product, and commercial teams.

Designs and builds end-to-end data platforms on Google Cloud for regulated-sector clients. Responsibilities include developing reliable pipelines, modeling scalable data systems, optimizing performance and cost, ensuring data governance and regional compliance, and applying cloud networking and security practices. The role requires strong SQL and Python skills, client-facing communication, and ownership of project outcomes.

Design, build, maintain, and support scalable backend services for custodial and execution accounts across digital asset businesses. Collaborate on system architecture, deliver features, optimize performance and reliability, automate workflows, and own production services end to end, including deployment, monitoring, troubleshooting, and support.

Own and execute financial reconciliations across Xendit’s products and regional operations. Investigate unreconciled transactions, identify root causes with product, partnerships, and finance teams, and help automate reconciliation processes. Establish controls for new products and markets, monitor fund movements, prevent financial exposure, and ensure accurate, reliable financial operations under tight deadlines.

Build and ship full-stack features across front-end and back-end systems. Develop Node.js and Python services, REST APIs, data models, and WordPress solutions using PHP. Create React interfaces, integrate internal and external services, manage AWS infrastructure and databases, and maintain code quality through testing, reviews, and documentation. Collaborate across teams, mentor developers, manage multiple agile projects, and independently deliver reliable technical solutions.

Develop, customize, integrate, test, deploy, and support Dynamics 365 Business Central solutions using AL and extensions. Collaborate with cross-functional teams to translate business requirements into technical designs, integrate third-party systems through APIs and web services, document solutions, maintain coding standards, support upgrades, tune performance, and diagnose operational issues. The role also involves Power Platform capabilities, reporting, database work, CI/CD tools, and specialized Business Central workflow and finance integrations.