Top SQL Jobs in Pune

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Develop, enhance, optimize, and support SAP ABAP applications and reports using SAP HANA and modern ABAP technologies. Responsibilities include programming, debugging, performance tuning, CDS Views, AMDP, OData development, integrations, testing, troubleshooting, production support, and collaboration with functional and technical teams.

Develop AI applications using Python, generative AI, LLMs, RAG, vector databases, APIs, and agentic AI frameworks. Build and integrate solutions with models including GPT, Claude, Gemini, and Llama. Use LangChain, LangGraph, Docker, cloud platforms, and modern deployment tools. The role requires strong problem-solving, API development, prompt engineering, and immediate or short-notice availability for office-based work.

Develop and maintain Python-based API data ingestion services for GCP. Build secure, scalable, fault-tolerant pipelines with authentication, incremental loading, validation, reconciliation, orchestration, monitoring, and alerting. Manage data quality, PII masking, CI/CD, production troubleshooting, performance optimization, SLAs, data contracts, technical designs, mappings, and operational documentation. Collaborate with stakeholders to define support models and ensure reliable ingestion from internal and external APIs.

Develop modern generative AI applications using LLMs, retrieval-augmented generation, vector databases, prompt engineering, and agentic AI. Build APIs and production systems with Python, FastAPI, LangChain, LangGraph, Docker, and cloud platforms. Responsibilities may include integrating major LLM providers, implementing function calling, embeddings, evaluation frameworks, guardrails, monitoring, and fine-tuning. The role is full-time, office-based, and requires immediate or short-notice availability.

Develop, customize, integrate, test, deploy, and support Oracle Retail Xstore POS applications. Build solutions using Java, XML, SQL, and Oracle technologies; integrate POS with enterprise systems; troubleshoot defects and production incidents; manage releases; and collaborate with functional and technical teams to deliver business requirements.

Consults on Sigma Computing and Snowflake solutions, using advanced Snowflake capabilities, semantic modeling, business intelligence, reporting, analytics, SQL, data modeling, and Snowflake optimization. The role requires troubleshooting, analytical thinking, and strong communication while delivering BI and reporting solutions.

Build and deploy AI and machine learning models for business challenges, develop Generative AI and Agentic AI solutions using LangChain and LangGraph, leverage LLMs, create data visualizations and actionable insights, and collaborate with cross-functional teams while managing data science projects.

Design, develop, troubleshoot, and support PeopleSoft FSCM and/or HCM applications. Lead technical development, integrations, upgrades, enhancements, production support, automated regression testing, and defect resolution using PeopleSoft Test Framework. Collaborate with QA and cross-functional teams, maintain application stability, and support complex customized environments. The role requires overlap with US customer hours, potentially until 11:00 PM IST.

Design, develop, and optimize SAP BW/4HANA enterprise data warehouse solutions. Responsibilities include BW/4HANA modeling, LSA++ architecture, virtualized data warehousing, complex transformations, data transfer processes, HANA SQL models, ABAP routines, analysis authorizations, ODP, remote connections, data tiering, lifecycle management, conversions, Eclipse development, and AMDP versus ABAP optimization.

Develop scalable, high-performance backend applications using Python. Responsibilities include Core Python and object-oriented programming, functional programming, multithreading, multiprocessing, asynchronous development, REST API creation and integration, SQL query optimization, Apache Spark distributed processing, debugging, performance tuning, and problem-solving.

Develop scalable data processing applications and distributed systems using Core Java, Spring Boot, and Apache Spark. Responsibilities include implementing multithreading and concurrency, applying data structures and algorithms, building SQL-driven ETL and data pipelines, debugging applications, tuning performance, and solving complex technical problems.

Lead engineering teams developing high-quality software for Barclays’ digital mortgage ecosystem. Responsibilities include technical guidance, team allocation, delivery planning, risk management, mentoring, performance reviews, process improvement, stakeholder collaboration, requirements analysis, architecture, peer reviews, testing, and enforcing technology standards. The role requires strong object-oriented distributed-systems development, microservices, databases, DevOps automation, Agile delivery, secure development, and AI-enabled development practices.

Develop and operate full-stack Treasury technology solutions supporting trading, balance management, liquidity reporting, and regulatory programs. Responsibilities include hands-on Java development, end-to-end solution ownership from design through production, stakeholder communication, cross-geography collaboration, and coaching healthy team communication. The role requires cloud-native development, messaging and integration, testing, DevOps, security, code quality, and responsible use of AI tools.

Design, develop, test, and maintain scalable enterprise applications across the full stack. Build web applications, APIs, microservices, integrations, and cloud-native solutions using Java, modern frontend technologies, Azure or AWS, Kubernetes, and CI/CD practices. Improve software quality through testing and reviews, contribute to architecture and DevOps initiatives, and collaborate with cross-functional teams to deliver secure, reliable systems.

Analytics Associate supporting biotechnology and pharmaceutical consulting engagements. Responsibilities include researching and analyzing datasets, extracting insights, identifying opportunities and threats, collaborating with stakeholders, developing client solutions and recommendations, and building efficient analytical tools and visualizations. The role requires analytics experience, proficiency with Excel, SQL, Alteryx, R, or Python, strong analytical ability, and familiarity with life sciences or the U.S. pharmaceutical market.

Develop and optimize Oracle SQL and PL/SQL solutions, including data modeling, performance tuning, OLTP, data warehousing, and ETL/ELT processes. Use Informatica, test automation, CI/CD pipelines, AWS-based Oracle environments, and job scheduling tools such as Autosys or Airflow. Apply strong quality practices while troubleshooting issues and communicating effectively.

Design, modernize, automate, and maintain ScienceLogic’s hybrid cloud monitoring platform. Responsibilities include developing system update software, leading OS migrations and technology upgrades, troubleshooting distributed systems, optimizing performance and reliability, and contributing to Agile Scrum improvements. The role requires Linux administration, system and network troubleshooting, automation, Python and Bash scripting, SQL database knowledge, and familiarity with AI-driven software development and monitoring tools.

Owns company-wide revenue retention and add-on monetization analytics across CPaaS, AI features, Customer Success, and Finance. Builds canonical GRR, NRR, churn, and monetization metrics; applies causal inference methods to distinguish true retention drivers from bias and data artifacts; guides experimentation and forecasting; and influences cross-functional product, pricing, lifecycle, and customer success decisions without direct authority.

Owns customer growth analytics across onboarding, activation, trial-to-paid, multi-product adoption, retention, and expansion. The role develops canonical metrics, segment definitions, value models, and causal-inference standards; identifies behaviors that predict expansion; evaluates experiments; and translates product, behavioral, and revenue data into guidance for Growth, GTM, Finance, and product leaders. It also shapes event taxonomy, influences roadmap and investment decisions, and establishes reusable analytical practices across teams.

Own analytics and measurement for HighLevel’s AI product portfolio. Define instrumentation standards, feature-level KPIs, adoption and quality metrics, and rigorous approaches for evaluating nondeterministic AI features. Partner with experimentation leaders, PMs, engineering, and Analytics Engineering to close data gaps, influence product roadmaps, establish canonical metrics, and mentor future analysts.

Build and improve GoGuardian’s Pear Assessment platform across the full stack. Responsibilities include developing TypeScript and Node.js backend services, React interfaces, OpenSearch semantic search, scalable data pipelines, AWS cloud-native systems, MongoDB data models, and real-time classroom integrations. The role involves optimizing performance, reliability, and analytics, integrating AI services, collaborating cross-functionally, participating in architecture and code reviews, and maintaining strong testing and engineering standards.

Develop and maintain Private Capital applications, primarily Private Capital Suite/Investran. Design, troubleshoot, test, and improve resilient .NET and SQL-based code; support applications at L2/L3; manage project delivery; and collaborate with business and technology teams. The role requires Azure, REST APIs, Terraform, IaaS, CI/CD, vulnerability remediation, and Agile experience, with afternoon shifts supporting EMEA users and occasional weekend deployment work.

Develop scalable full-stack applications using React, Python, Kafka, and Snowflake. Build responsive interfaces, backend APIs, event-driven architectures, and real-time data pipelines. Design reliable data models, implement authentication, optimize performance, write automated tests, support CI/CD deployments, and collaborate with engineers, analysts, product managers, and business stakeholders in an Agile environment.

Configure, support, and improve Oracle E-Business Suite R12 Distribution and SCM modules. Gather requirements, create functional specifications and process documentation, perform gap analysis, develop test scripts, support UAT, train users, resolve issues, and manage Oracle Service Requests. The role partners with business stakeholders and technical teams to deliver Procure-to-Pay and Order-to-Cash solutions.