Top SQL Jobs in Pune

Design, build, automate, monitor, and maintain reliable, scalable, and secure infrastructure platforms (on-prem and cloud). Respond to incidents, implement secure configurations, support mainframe modernization, collaborate cross-functionally, and perform system administration and scripting tasks.

Design, build, and deploy production machine learning models and APIs in a Python-based cloud architecture. Deliver high-quality, testable code, visualize analytic results, collaborate in agile teams, and support data product capabilities and stakeholder communication.

Lead design and support of analytical data infrastructure and real-time data pipelines on AWS. Build ETL, data modeling, warehousing, and BI solutions; collaborate on analytics and machine learning integrations; automate reporting and improve self-service access.

Lead design and implementation of scalable, low-latency equities trading systems. Hands-on Java development, provide technical guidance, enforce code quality, mentor engineers, collaborate with global stakeholders, and drive CI/CD, cloud, and DevOps practices to meet performance, reliability, and business requirements.

Design, develop, and maintain automated test frameworks for UI, API, integration, regression, and end-to-end tests across .NET, Java, and Python systems. Write Gherkin scenarios, integrate tests into CI/CD (Bamboo/GitHub Actions), execute and document test cases, manage defects, participate in Agile ceremonies, and contribute to performance and security testing and testability reviews.

Design, build, test, deploy, and support scalable, high-performance Java/Spring services for Securities Finance. Contribute to distributed systems, messaging, APIs, and observability; collaborate globally, perform root-cause analysis, code reviews, and improve engineering practices and automation.

Lead design, develop, test, and maintain cloud-native risk platform components on AWS. Build containerized systems (EKS/Docker/Helm), backend services in Python using Boto3, implement IaC and CI/CD, collaborate with architects and stakeholders, and support risk analytics, data modeling, reporting, and production troubleshooting.

Manage and improve GTM reporting and dashboards (Excel, Looker Studio), ensure data quality with Snowflake and Data teams, run ad hoc Salesforce analyses, prepare forecasting and leadership data extracts, document metrics and processes, and automate recurring reports to support Sales, Marketing, and Customer Experience.

Design, build, and maintain production data pipelines and models using Python and SQL. Improve data architectures (Kafka, warehouses, ODS), optimize SQL performance, perform data cleaning and analysis, select data sources, and collaborate with partners to support cloud-based analytics (Snowflake, AWS SageMaker) and workflow tools like Airflow.

Design, develop, and maintain automated and manual test strategies for web and POS applications. Create test plans, write automation scripts, execute functional, integration and regression tests, track defects, define QA metrics, support release validation, and mentor team members while collaborating with cross-functional stakeholders.

Own the full quote-to-cash revenue cycle, including quotes, invoicing, receivables tracking, collections, discrepancy reconciliation, and billing support. Collaborate with sales and accounting, review SQL reporting outputs, optimize QuickBooks Online and Stripe, and lead system upgrades, automation, and process improvements. The role requires strong accounting expertise, communication, organization, problem-solving, and independent ownership in a remote startup environment.

Lead design and implementation of cloud-native ETL/ELT pipelines and data warehouse solutions. Optimize performance, ensure data quality and governance, mentor engineers, automate workflows, and collaborate with cross-functional teams to support analytics and BI initiatives.

Responsible for designing, implementing, and maintaining integrations between Workday and other systems. Collaborate with stakeholders, troubleshoot integration issues, and ensure compliance with security standards.

Lead end-to-end testing for web and backend systems, design and maintain Python/Selenium automation frameworks, write reusable test scripts, integrate tests into CI/CD, perform manual testing where needed, track defects, mentor juniors, and deliver release readiness and quality metrics.

Design, build, and maintain scalable ETL/data pipelines using PySpark, Python, SQL and Azure Databricks. Ensure data quality and performance, troubleshoot and optimize workflows, collaborate with data scientists and product teams, and follow data governance and agile practices.

Lead design and deliver end-to-end data solutions on Microsoft Fabric. Build and optimize PySpark/ELT pipelines, architect Lakehouse/Delta Lake with Medallion patterns, enforce data governance/lineage/security, implement CI/CD and DevOps, mentor engineers, troubleshoot production, and collaborate with stakeholders on performance and cost optimization.

Design, develop, and maintain scalable backend services in Golang, build RESTful APIs and microservices, manage AWS cloud infrastructure, integrate Redis caching, optimize performance and security, collaborate across teams, and follow CI/CD and containerization best practices.

Lead test environment and test-data efforts for complex distributed systems. Build/maintain production-like non-PROD environments, implement data masking (Delphix), provision and validate test data (SQL/Oracle/MSSQL), support CI/CD, monitor environment health, and enable end-to-end testing across middleware and microservices.

Provide L1/L2 production support for Xceptor workflows: monitor schedules, troubleshoot incidents, perform root-cause analysis, manage deployments and configuration changes, coordinate with business users, maintain SOPs/knowledge base, participate in on-call rotations, and drive automation and continuous improvement.

Lead enterprise architecture for Global Engineering: define target-state architectures, roadmaps, reference patterns, and governance. Drive cloud-native, API/microservice, data, platform, and AI-enabled architecture; enable delivery through standards, reusable platforms, POCs, and training while aligning security, risk, and regulatory requirements.

Lead QA efforts to design, build and manage production-like non-PROD environments, provision and mask test data, enable end-to-end testing across distributed microservices, monitor environment health, and support CI/CD pipelines while ensuring compliance and data traceability.

Lead trade integration and processing for fund administration: design, implement, test and troubleshoot ETL/integration solutions, ensure SLA-driven transaction processing, resolve trade breaks, drive automation and process improvements, liaise with client/service teams, and support product enhancement projects.

Design, develop, and deliver scalable full-stack software for investment banking; lead technical direction, implement secure coding and testing practices, mentor engineers, collaborate with stakeholders, and improve engineering processes and architecture.

Lead and own design, execution, and maintenance of advanced automated test suites. Drive test automation strategy, CI/CD integration, API testing, tooling evaluation, metrics reporting, and provide technical leadership to ensure software quality.

Lead and mentor an engineering team while defining technical roadmaps, managing hiring and resource allocation, and overseeing project delivery. Build and maintain enterprise applications using Java Spring and React, guide cross-functional requirements, conduct code reviews, troubleshoot performance issues, and provide client-facing technical leadership. The role combines hands-on software engineering with people management and strategic technical oversight.