Top SQL Jobs in Pune

Lead data analysis and pipeline design to enable data-driven decisions. Investigate data quality and lineage, build automated ETL, apply statistical and ML techniques, and produce interactive dashboards and reports to support stakeholders and operational improvements.

Lead data analysis and engineering to enable data-driven decisions: investigate data quality and lineage, build automated pipelines, apply advanced analytics and ML, design interactive dashboards and reports, translate insights into business recommendations, and support governance and controls while coaching or leading team members.

Own and prioritize the Charles River product backlog, define user stories and acceptance criteria, liaise with stakeholders and delivery teams, drive roadmap execution and Agile ceremonies, support CRIMS implementations/upgrades and SaaS migrations, monitor product performance and risk controls, and lead or coach analysts to deliver investment management capabilities across front-to-back workflows.

Lead technical design and implementation of Salesforce Data Cloud and MCP personalization solutions. Architect data models and ingestion pipelines, enable identity resolution and audience activation, integrate MarTech systems, ensure data quality and privacy compliance, troubleshoot integrations, mentor engineers, and support journey orchestration and roadmap planning for real-time personalized experiences.

Design, develop, and maintain backend and cloud-based security products. Own production software, collaborate across cross-functional and cross-time-zone teams, and work on database- and Linux-based systems.

Lead architecture and delivery of Control Center platform capabilities, evolving it into an AI-agent-ready operations platform. Design MCP registries, AI orchestration, access automation, guardrails, and HITL workflows. Mentor engineers, drive cross-team roadmaps, own backend services reliability, SLOs, observability, incident response, and collaborate with Security and Product to deliver secure, compliant internal tooling.

Develop and support enterprise integrations involving SAP and Informatica MDM. Build data mappings, workflows, and integration processes; manage master data governance, transformation, cleansing, matching, and survivorship. Troubleshoot integration issues, work with relational databases and SQL, and document solutions. Preferred experience includes SAP ECC or S/4HANA, SAP PI/PO or CPI, Informatica IDQ or PowerCenter, APIs, cloud and hybrid architectures, Agile development, and relevant certifications.

Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.

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.

Build and lead backend systems and services for the ingestion and data platform using Scala and JVM technologies. Collaborate with product, web, and data engineering teams; design scalable integrations and REST services; lead projects from technical design through delivery; document technical decisions; resolve design ambiguity; and promote code quality, maintainability, and team development.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Designs, develops, configures, and customizes Salesforce Sales Cloud, Service Cloud, and Apttus CLM solutions using Apex. Participates in the full software development lifecycle, automates and reviews deliverables, applies Agile practices, and builds scalable, reliable integrations and applications. Collaborates with cross-functional global teams to meet business and product needs.

Owns the EMEA Quality and Continuous Improvement analytics architecture, including KPI frameworks, data models, Power BI dashboards, governance, and process mining. Translates operational data into strategic insights for senior leadership, develops predictive and leading indicators, standardizes reporting across business units, and drives automation and data quality improvements. The role also establishes 8D maturity tracking and advises global stakeholders on performance improvement priorities.

Designs and maintains SAP-integrated ETL/ELT pipelines connecting ECC, S/4HANA, BW/4HANA, and cloud data platforms. Responsibilities include SAP data extraction, transformation, real-time integrations, dimensional modeling, database optimization, data quality monitoring, alerting, cost optimization, and documentation. The role partners with functional consultants, BI teams, FP&A stakeholders, and business leaders while developing cloud skills across AWS services such as Glue, Lambda, Airflow, and Redshift.

Build foundational software engineering skills by completing well-scoped tasks in Amtech’s AWS-hosted Cloud API and/or 4D ERP platform. Responsibilities include writing and updating unit and integration tests, debugging routine issues, learning CI/CD and SDLC practices, participating in code reviews and Agile ceremonies, communicating progress, and developing familiarity with ERP business logic across order management, production, inventory, and finance.

Perform full-cycle quality assurance for Akamai Data Warehouse releases, including requirements gathering, test planning, manual and automated testing, regression, load, performance, and feature verification. Develop testing tools and scripts to improve regression testing efficiency. Collaborate within a Scrum team to test backend distributed systems and integrations deployed to Akamai’s platform, using Python, shell scripting, SQL, networking protocols, and Kubernetes.

As a Quality Engineer, you will conduct automated and manual testing, ensuring software reliability through design and analysis, collaborating with various teams, and maintaining test artifacts.

Develop and maintain responsive web applications using React.js and Node.js. Design and consume RESTful APIs, write clean code, and build automated tests with Playwright. Perform unit, integration, and end-to-end testing, debug and optimize performance, participate in code reviews, and work in Agile/Scrum teams.

Design, implement and support analytical data infrastructure and real-time pipelines on AWS. Extract, transform and load data from varied sources using SQL and big-data tools; enable analytics, monitoring, and machine-learning workflows; improve reporting and automate self-service data processes.

Design and own enterprise data architecture and roadmap, modernize legacy systems to cloud-native platforms, define modeling, governance, integration and real-time patterns, select and evaluate data platform technologies, mentor teams, and provide architectural oversight to ensure scalable, secure, and performant data solutions for analytics and ML.

The Senior Analyst will develop and maintain VBA automation solutions for Finance operations, enhancing efficiency and process control through automation and data management.

The role involves developing infrastructure for AI applications, managing deployment processes, analyzing data, and collaborating with developers to optimize automation systems in the Windows ecosystem.

Design, develop and deliver scalable, secure software and DevOps platform capabilities. Build and maintain CI/CD pipelines, automate deployments, monitor performance and availability, collaborate across product and engineering teams, and improve incident, change, and vulnerability management processes.

The Technical Analyst will design and develop secure C# .NET applications, mentor team members, manage tasks, and ensure high-quality product delivery while identifying and addressing technical debt.

Senior full-stack engineer responsible for designing, developing, and deploying .NET/Azure-based product features. Collaborate on architecture, APIs, DevOps, security, performance, and release management. Ensure code quality, testing, documentation, and continuous product improvement.