Top SQL Jobs in Pune

Lead technical discovery, translate business requirements into implementation-ready functional specifications, define APIs and data models, support integrations and testing, troubleshoot applications, and collaborate with stakeholders and development teams to deliver reliable solutions.

Lead architecture, design, development and maintenance of embedded insurance platform solutions. Build secure, scalable microservices and REST APIs, implement Azure cloud-native deployments, containerization (Docker/Kubernetes), and data pipelines. Collaborate with cross-functional teams, ensure uptime, perform code reviews, and maintain technical documentation while supporting Agile delivery across multiple countries.

Senior SDET focused on backend and API testing: design and build test automation frameworks (API, contract, UI), maintain CI/CD pipelines, monitor automation health, perform manual web verification, improve QA processes, mentor engineers, and coordinate testing activities across teams.

Lead recurring reporting and metrics for global people operations, partnering with People Analytics to build scalable reports and visualizations. Validate people data integrity, support BAU HR programs (performance management, talent reviews, surveys), translate technical analyses for non-technical leaders, and reduce ad-hoc requests by creating consistent analytics solutions while ensuring data governance and privacy.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Lead data engineering efforts to ingest, unify, process, and analyze large, high-dimensional datasets using cloud and big-data platforms. Partner with product, data science, and platform teams to build reusable, production-ready data solutions, prototypes, and analytics that drive cybersecurity and fraud-related products and insights.

Provide senior-level Oracle database administration for project and production systems: troubleshoot and tune performance, manage clustering/DR, backups/recovery, installs/upgrades and patching, document and mentor, enforce security/compliance, meet SLAs, and provide occasional out-of-hours support while collaborating with cross-functional teams.

Design, build, and operate scalable ETL/ELT data pipelines and curated datasets for analytics and ML. Ensure reliability, performance, data quality, governance, and cost optimization across Hadoop and cloud platforms. Implement CI/CD, monitoring, data lineage, and security controls; collaborate with product, data science, and platform teams; troubleshoot production issues and participate in on-call rotations.

Designs and implements data ingestion, aggregation, and processing pipelines across Hadoop and cloud platforms to enable unified data views and analytics. Partners with product, data science, and platform teams to integrate data assets, build prototypes, and produce actionable insights and BI solutions. Applies data modeling, large-scale querying, and analytics to support security, fraud, and identity products.

The Senior Software Engineer - Test will lead QA and automation testing for ecommerce payment solutions, mentor junior engineers, and drive technical decisions within Agile teams.

Lead design and implementation of full-stack web applications and scalable data pipelines. Build intuitive UIs, backend data models, performant analytics, write and review tests, mentor junior engineers, and collaborate with product and design to deliver customer-focused solutions.

The Analyst II in IAM User Access Review focuses on executing access reviews, data analysis, and ensuring compliance with IAM policies while collaborating with senior analysts and business stakeholders.

The Analyst II - IAM Hygiene assists with security assessments, develops security processes, and responds to security incidents while guiding junior analysts and maintaining compliance.

Design, implement, and maintain enterprise ETL/data pipelines and databases. Optimize SQL and data processing, apply best practices (version control, code reviews, validation), automate routine tasks, collaborate with global teams, troubleshoot data issues, and ensure compliance with internal policies and regulations.

Develop advanced statistical models and leverage data analytics to guide decision-making. Communicate results effectively and mentor Associates. Experience in Pharma and real-world data analysis is preferred.

As a Business Technology Solutions Associate Consultant at ZS, you will lead data governance projects, manage data catalogs, and collaborate with clients to implement technology solutions for data management.

The Senior System Analyst bridges business needs with technical solutions, focusing on data strategy, analytics, stakeholder management, and product ownership within the Workplace Intelligence Platform.

As a Technical Support Engineer, you will provide second-level support for Coupa's procurement and spend management platform, resolving customer issues and enhancing satisfaction by closely collaborating with technical teams. You will contribute to knowledge management and maintain up-to-date knowledge of Coupa's offerings.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Design, build, test, and deploy scalable full-stack analytics applications using Java and Angular. Develop secure REST APIs, optimize database queries, integrate with enterprise data warehouse and BI solutions, mentor junior engineers, and drive CI/CD and operational excellence.

The role involves leading software engineering teams to develop and implement microservices and web applications, focusing on B2B payment solutions and cloud integrations.

Develop complex solutions using various technologies, manage projects through all lifecycle phases, and collaborate with teams to drive results. Emphasizes consulting mindset, client-first approach, and effective communication skills.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

Lead GBSC data engineering and analytics initiatives: design data/ETL infrastructure, implement automation, enable large-scale structured and unstructured data analysis, manage team delivery, and communicate insights to influence business decisions.

Lead and architect large-scale data engineering initiatives: design cloud-ready ELTL/real-time data platforms, drive AI adoption, ensure SLAs and quality across SDLC, mentor teams, and manage complex projects and vendor selections.