Top SQL Jobs in Pune

The Senior Customer Services Analyst will oversee a team, troubleshoot system failures, maintain data connectors, support release testing, and ensure process documentation is current.

Install, configure, maintain, monitor, and troubleshoot databases; write and optimize SQL and application performance; manage backups, restores, and disaster recovery; participate in production support, incident management, DevOps collaboration, and log/error monitoring.

Design, implement, and scale Adobe Experience Platform and Analytics solutions; manage tagging, data schemas, and QA for web analytics; enable self-service reporting, measurement governance, and cross-functional analytics to support marketing initiatives and data-driven decision making.

Lead end-to-end statistical programming for ADaM datasets and TLFs; implement, validate, and maintain CDISC SDTM/ADaM standards; support regulatory submissions (ISS/ISE) and RTQs; develop reusable macros/functions and metadata specifications; work with RWD, biomarker data, external control arms, survival analysis, and propensity score methods.

Lead design and implementation of IDMC-based data integration solutions. Build and optimize ETL/ELT pipelines, integrate SCADA/IoT/ERP/market data, enforce data quality and governance, mentor developers, monitor production pipelines, troubleshoot issues, and evaluate new IDMC features to support analytics and regulatory needs.

Lead design and ownership of certified data models, semantic layers, and analytics products. Partner with cross-functional stakeholders to define trusted metrics, implement transformations, automated testing, monitoring, and documentation. Improve analytics platform architecture, governance, and adoption while using AI-assisted tools to accelerate SQL development and data product delivery.

Lead design and delivery of Physical Identity and Access Management (PIAM) solutions for enterprise customers. Own technical relationships, gather requirements, architect integrations (SQL Server, Active Directory, web services, access control platforms), troubleshoot complex issues, and mentor junior team members while managing scope and timelines.

Provide L1/L2 production support and manage ticketing, monitoring, releases, deployments and DB/ETL issues. Develop automation, perform application upgrades, onboard new applications, and maintain operational runbooks and SOPs.

Lead architecture, design, build, and maintain scalable full-stack systems. Collaborate with cross-functional teams, drive best practices, write clean test-covered code, participate in reviews, troubleshoot issues, and adopt new technologies to improve analytical SaaS solutions.

Build and maintain end-to-end data pipelines using PySpark and SQL on Databricks/Delta. Establish data modeling and pipeline best practices, create AI-ready analytical datasets, troubleshoot pipeline issues, and collaborate with stakeholders to embed business logic and optimize reliability, efficiency, and performance.

Customer-facing Deployment Engineer responsible for installing, configuring, upgrading, and supporting Cellebrite solutions across on-prem, cloud, and hybrid environments. Performs pre/post deployment validation, troubleshooting, automation with IaC, documentation, user training, incident response, system upgrades, and works closely with engineering, product, sales, and customer success. Supports India/APAC customers with up to 50% travel.

Design, develop, test, and support enterprise financial application components in Oracle Fusion, integrate data flows with Zuora, translate accounting requirements into technical specs, support SIT/UAT, monitor system health, debug integrations, and perform root-cause analysis during critical financial periods.

Design, build, and operate batch and real-time data ingestion and transformation pipelines. Develop platform components (storage, compute, pipelines), monitoring, alerting, and data-quality tooling. Diagnose production issues, participate in on-call rotations, and build AI-powered agents to automate engineering and operational tasks.

Serve as the technical voice of the customer by embedding supportability into PDLC, analyzing support data to influence R&D priorities, specifying proactive diagnostics and error messaging, and orchestrating global readiness (training, docs, tooling) to reduce support incidents and ensure smooth product launches.

The Revenue Operations Analyst will manage revenue analytics for publisher accounts, create reports, identify growth opportunities, and collaborate with teams to optimize monetization strategies.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

The Engineering Manager leads the Data Engineering team, overseeing the design of scalable data pipelines using AWS technologies, mentoring engineers, and collaborating with stakeholders on data-first initiatives.

Lead Software Engineers will design, develop, and support applications, ensuring performance and compliance with requirements, while collaborating with various teams and utilizing modern software development methodologies.

The Technical Customer Support Engineer will assist customers globally through communication channels, provide technical guidance, document solutions, and collaborate with internal teams to improve customer experience.

The Senior Data Scientist will develop strategies for analytics, lead operational processes, and promote the use of data science solutions while collaborating internally and externally to ensure effective adoption.

The Data Analyst I role involves analyzing data to solve business problems, supporting business intelligence initiatives, and developing Power BI solutions, while collaborating with various teams and stakeholders.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

As a Senior Data Scientist, you will utilize analytical methods and programming skills to derive insights from data, design solutions, and communicate effectively with stakeholders.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

Enable and co-sell ClickHouse with cloud providers and SIs across India/APJ by running discoveries, workshops, POCs, and partner enablement programs; build reusable solution playbooks, support marketplace and compliance efforts, present at partner events, and feedback product needs to Engineering.