Top SQL Jobs in Pune

Collaborates with internal and client teams to analyze business problems, translate requirements into technical designs, and implement technology solutions. Develops technical features using appropriate methodologies, testing practices, and technology stacks. Supports project implementation planning, interprets business requirements, and contributes to small- and medium-scale client engagements involving databases, programming, cloud platforms, and analytics.

Lead the machine learning engineering team in building enterprise AI solutions, including multi-agent systems, multimodal pipelines, RAG and Graph-RAG architectures, transformer models, LLMOps/MLOps platforms, and Python inference services. The role also owns model deployment, statistical modeling, responsible AI governance, state and memory systems, continuous retraining, innovation research, and stakeholder management.

Design, develop, test, deploy, and support secure, scalable payment-network software. Build Java and Spring Boot microservices, REST APIs, Kafka integrations, and responsive Angular interfaces. Create automated tests, troubleshoot production issues, contribute to CI/CD, observability, resiliency, and automation, and collaborate with globally distributed engineering, product, architecture, and operations teams.

Develops and maintains data engineering solutions involving ingestion, aggregation, processing, curation, modeling, and analysis of high-volume data. Uses Cloudera, Databricks, AWS, Python, PySpark, SQL, and related tools to unify data assets, generate insights, support business intelligence, and enable fraud, security, and digital identity products. Partners with product, data science, platform, technology, client, and sales teams to deliver data solutions, prototypes, and enhancements.

Design, develop, test, deploy, and support secure, scalable Java and Spring Boot microservices for payment networks. Build REST APIs and Kafka integrations, apply resilient software design, troubleshoot production issues, contribute to testing, CI/CD, observability, automation, and operational readiness, and collaborate across distributed engineering teams. Guide less-experienced engineers and use AI-assisted development tools such as GitHub Copilot and Claude CLI.

Design, develop, and support SAP Concur Expense and Coupa integrations and reporting. Implement Concur/Coupa configurations, build REST API integrations using mTLS/OAuth2, contribute to architecture, testing, and operational resiliency, and collaborate with business and security teams to ensure secure, scalable financial systems and reporting.

Design, develop, test, deploy, and support secure, scalable Java and Spring Boot microservices, REST APIs, and Kafka-based integrations. Apply resilient software design, automated testing, CI/CD, observability, and secure coding practices. Troubleshoot production issues, collaborate across engineering and product teams, and independently own complex work through production support while guiding less-experienced team members.

Designs, develops, and maintains Java-based test automation frameworks for payment processing platforms. Builds functional, API, integration, regression, UI, and end-to-end test suites covering authorization, clearing, tokenization, and payment workflows. Integrates automated tests into CI/CD pipelines, manages test data and environments, analyzes failures, and collaborates with engineering teams to improve software quality and automation efficiency.

Design, develop, test, deploy, and support secure, scalable Java and Spring Boot microservices, REST APIs, and Kafka-based event-driven integrations. Troubleshoot production and performance issues, contribute to CI/CD, observability, resiliency, and automation, and collaborate across engineering, product, architecture, and operations teams. Provide technical leadership, mentor engineers, and drive decisions across workstreams while applying secure coding and software design practices.

Designs, develops, tests, and supports scalable Java payment-processing applications and automated validation frameworks. Builds solutions for authorization, tokenization, clearing, settlement, ISO 8583 messaging, transaction routing, and exception handling. Integrates testing into CI/CD pipelines, supports production systems, troubleshoots complex issues, participates in architecture and code reviews, and mentors engineers. Collaborates across distributed engineering, product, and operations teams while promoting automation and software quality practices.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.

Lead the design and development of scalable cloud-native data platforms and batch or real-time pipelines supporting AI, machine learning, and Generative AI. Build infrastructure for feature engineering, model training, inference, LLMs, RAG, embeddings, and vector databases. Ensure data quality, governance, security, observability, reliability, and cost efficiency while enabling MLOps and AgenticOps capabilities across enterprise AI initiatives.

Designs, develops, tests, deploys, and supports secure, scalable full-stack payment-network solutions. Builds Java and Spring Boot microservices, Kafka-based event-driven systems, and responsive Angular front ends. Integrates secure APIs, implements automated testing and CI/CD, troubleshoots production issues, and supports observability, resiliency, and automation. Collaborates across engineering and product teams, contributes to architecture and Agile delivery, and guides less-experienced engineers.

Designs, develops, tests, deploys, and supports secure, scalable payment-network software using Java, Spring Boot, Angular, Kafka, microservices, and cloud-native practices. Builds responsive front-end experiences, integrates secure APIs, applies secure and reusable design principles, troubleshoots production issues, contributes to CI/CD and observability, and collaborates across engineering and product teams. Provides technical leadership, mentors team members, and drives decisions across workstreams.

Develops, tests, validates, and supports large-scale batch and real-time data platforms using Spark, Kafka, and NiFi. Builds resilient data pipelines, validation frameworks, distributed storage solutions, deployment automation, and operational tooling. Optimizes performance, scalability, and reliability; supports production troubleshooting and incident resolution; contributes to architecture, CI/CD, documentation, code reviews, and engineering standards; and mentors junior engineers.

Leads software engineering squads delivering secure, scalable, highly available payment-network solutions. Manages team development, hiring, performance, capacity, delivery, quality, and production outcomes. Guides Java and Spring Boot microservices, REST APIs, Kafka integrations, event-driven architecture, testing, CI/CD, observability, resiliency, and cloud-native practices. Partners cross-functionally on priorities, risks, dependencies, and technical decisions while communicating status and driving continuous improvement.

Supports the design, requirements, testing, documentation, and delivery of AI-powered and API-enabled financial reconciliation products. Maintains backlogs, coordinates agile execution, analyzes API telemetry and product metrics, supports AI feature evaluation, and documents controls for agentic workflows. Collaborates with engineering, operations, finance, compliance, and business stakeholders on discovery, integrations, client onboarding, go-to-market materials, roadmap planning, and leadership reviews.

Build and maintain scalable batch and streaming data pipelines, ingest data from diverse sources, transform and model curated datasets, and support analytics products. Develop data quality checks, monitoring, documentation, testing, and CI/CD practices. Collaborate with analysts, product owners, developers, and DevOps teams while troubleshooting pipeline incidents, following data governance and security policies, and handling PII appropriately.

Designs, builds, maintains, monitors, and optimizes cloud and on-premises ETL/ELT pipelines for large-scale batch and real-time data processing. Ensures data quality, security, compliance, reliability, and performance. Leads solution design and estimation, collaborates with business and technology stakeholders, and mentors data engineers. Uses Azure, big data frameworks, distributed databases, data lakes, warehouses, streaming technologies, and medallion architecture.

Designs, builds, and maintains scalable ETL/ELT pipelines for batch and real-time processing across Azure and on-premises environments. Ensures pipeline reliability, performance, data quality, security, and compliance. Collaborates with business and technology stakeholders, leads solution design and estimation, troubleshoots data platforms, and mentors data engineers. Uses Big Data frameworks, distributed databases, cloud services, data lakes, warehouses, streaming technologies, and DevOps practices.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Design, build, and deploy AI and Generative AI solutions using LLMs, agent frameworks, and RAG. Develop scalable AI/ML pipelines, cloud-native integrations (Azure/Databricks/AWS), and MLOps/LLMOps deployments. Integrate AI with APIs, databases, and internal apps. Implement Responsible AI practices (bias detection, hallucination mitigation, explainability, safety guardrails). Monitor, test, and maintain production AI systems while staying current on Generative AI trends.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

Designs and develops Java and Node.js applications and microservices, optimizes databases and queries, maintains CI/CD pipelines, conducts code reviews, mentors junior developers, troubleshoots production issues, and collaborates with cross-functional teams to deliver scalable software solutions.

Build and manage Adobe Journey Optimizer, Adobe Campaign Classic, and Adobe Experience Platform solutions for personalized omnichannel customer journeys. Responsibilities include campaign workflows, JavaScript and SQL development, data ingestion and transformation, XDM schemas, identity stitching, audience activation, APIs, microservices, integrations, analytics tracking, testing, troubleshooting, documentation, and privacy compliance.