Top SQL Jobs in Pune

Own production dbt models and semantic-layer definitions for revenue metrics, including ARR, CARR, bookings, backlog, and churn. Translate Finance and business requirements into technical data specifications, reconcile metrics with NetSuite and financial close, build certified dashboards and AI-assisted reporting, and establish governance, testing, lineage, access controls, and measurement for the Lead-to-Cash program.

Design and build deterministic, auditable AI engines and conversational agents for finance platforms. Lead architecture across RAG, agent orchestration, structured outputs, grounding, evaluation, verification, and human-in-the-loop workflows. Develop production Python services with SQL and vector retrieval, support multi-cloud and on-premises deployments, mentor engineers, conduct design reviews, and communicate architecture decisions to technical and business stakeholders.

Design, build, and optimize GCP data ecosystems, including pipelines, data lakes, warehouses, storage architectures, and processing infrastructure. Gather requirements, model data, troubleshoot complex issues, tune performance, monitor systems, and support new functionality. Collaborate directly with clients and cross-functional teams, while mentoring junior data engineers and leading technical improvement discussions.

Leads day-to-day delivery across data engineering, analytics, and ML/AI; manages backlogs, sprint planning, capacity tracking, Jira workflows and reporting. Directly manages 15–20 engineers, oversees performance and retention, resolves delivery escalations, and presents performance metrics to senior stakeholders. Requires strong Jira configuration, agile delivery, SQL, cloud data warehousing, and pipeline-development knowledge.

Lead data modeling for SAP domains including Supply Chain, Order-to-Cash, and Finance. Design and review conceptual, logical, and physical models; validate mappings, data structures, business rules, and data contracts; and ensure governance, quality, metadata, lineage, and canonical model alignment. Use Databricks and SQL to support integration, transformation, reporting, and analytics. Collaborate with data, engineering, SAP, architecture, and business stakeholders to resolve modeling gaps and approve production-ready designs.

Provides technical leadership for Azure data engineering projects, including solution architecture, data modeling, pipelines, data integration, code quality, QA, performance optimization, governance, security, and documentation. Collaborates with stakeholders and project managers to define scope, manage risks, and deliver scalable, efficient solutions. Requires strong Python, SQL, PySpark, Databricks, Azure Data Factory, Delta Lake, Synapse, Spark, data warehousing, governance, and Azure DevOps expertise.

Design, build, and maintain scalable Azure-based data pipelines and systems (Databricks, Data Lake, Synapse, ADF). Collaborate with cross-functional teams, ensure data quality and integrity, optimize performance, monitor and troubleshoot systems, and stay current with industry trends to improve solutions.

Design and build production AI-powered analytics: conversational interfaces, LLM agents, semantic data models, and scalable data pipelines. Partner with Product and Engineering to deploy RAG/MCP-based solutions, integrate AI with enterprise data and cloud platforms, mentor teams, and promote Responsible AI practices to improve decision-making and automation across the company.

Extract and maintain support data, build pipelines and dashboards, analyze ticket trends and customer journeys, identify automation opportunities, and translate insights into prioritized improvements. The role implements Zendesk workflows and APIs, supports AI and automation initiatives, runs experiments, measures business impact, and communicates findings to technical and non-technical stakeholders.

Builds and maintains scalable data pipelines, data architecture, ETL infrastructure, and analytics tools. The role assembles complex datasets, improves data delivery and infrastructure scalability, supports cross-functional stakeholders, and enables actionable business insights. Required expertise includes SAS, Python, Java, MATLAB, SQL and NoSQL databases, Hadoop-based data warehousing, MapReduce, Hive, and Presto. The position requires 5–8 years of related experience and a bachelor’s degree or equivalent experience.

Implement, configure, support, and maintain SAP IBP solutions across Supply, SOP, OBP, Control Tower, and Inventory modules. Integrate SAP IBP with S/4HANA using CPI-DS or RTI, gather requirements, conduct workshops, perform fit-gap analysis, design reporting templates, troubleshoot issues, and support supply chain planning processes including forecasting and inventory planning. Manage risks, communicate progress, and deliver client solutions using Agile practices.

Lead the design, development, deployment, and architecture of scalable web applications and APIs using Microsoft technologies, Azure, Angular, GraphQL, and databases. Build cloud-native solutions, manage CI/CD deployments, optimize SQL queries, and ensure application performance, security, and scalability. Collaborate in Agile Scrum teams, translate business requirements into technical designs, mentor junior developers, conduct code reviews, and manage project deliverables.

Develop and execute monetization models, pilot revenue initiatives, analyze conversion and market data, manage budgets, identify business partnerships, and collaborate on growth plans. The role turns data into actionable business insights, communicates findings to stakeholders, and supports strategic decisions that drive revenue and expansion.

Provides L2 operational and administrative support for the Clarity PPM platform, including incident resolution, application monitoring, batch and interface monitoring, access administration, data validation, testing, deployments, documentation, reporting, and disaster recovery support. The role participates in 16x5 coverage, on-call rotations, weekend maintenance, SOX controls, and progressive technical development in Clarity configuration, SQL, GEL, NSQL, XOG, APIs, and integrations.

Serves as the senior technical lead for Clarity PPM, providing L3 production support, development, configuration, integrations, troubleshooting, upgrades, deployments, and performance analysis. Leads root-cause investigations, technical solution design, testing, documentation, SOX-compliant change management, disaster recovery activities, vendor coordination, on-call support, and knowledge transfer. Develops GEL, NSQL, SQL, XOG, REST, XML, reports, workflows, and custom platform functionality while mentoring developers and administrators.

Develop and support Maersk’s Identity Governance and Administration platform within IAM operations and agile scrum teams. Responsibilities include gathering technical requirements, integrating applications and authoritative sources, maintaining platform uptime, implementing access governance concepts such as segregation of duties and role mining, and delivering secure solutions. The role requires Saviynt and broader IGA experience, familiarity with cybersecurity standards and DevSecOps, and development or scripting skills in Java, .NET, Python, JavaScript, SQL, and APIs.

Design, develop, test, and deploy AxiomSL/Adenza ControllerView regulatory reporting solutions. Responsibilities include data modeling, SQL and PL/SQL development, ETL, shell scripting, reconciliation, reporting workflows, lineage, audit controls, testing, object migration, release management, and production deployment. The role collaborates with finance, risk, treasury, regulatory reporting, infrastructure, auditors, and vendors while supporting Agile delivery and regulatory change initiatives.

Leads QA activities for data warehouse and database-focused software projects. Defines testing scope, creates test plans and SQL scripts, designs comprehensive test cases, performs functional, regression, load, system, and UAT testing, manages defects through resolution, investigates data quality issues, communicates status to stakeholders, establishes QA best practices, and mentors 2–3 QA associates.

Manage Oracle Cloud Fusion SCM integrations with third-party trade screening systems, configure trade compliance holds, and maintain screening processes for customers, suppliers, and items. Partner with trade compliance, logistics, and supply chain teams to support export regulations. Provide subject matter expertise, troubleshoot complex SCM and screening issues, document procedures, monitor processes, and implement system improvements. Requires extensive Oracle SCM configuration, integration, trade compliance, SQL, scripting, and analytical experience.

Leads quality assurance activities for data warehouse and database projects, including test planning, SQL scripting, functional and regression testing, defect tracking, data quality investigation, and UAT. Translates requirements into comprehensive test cases, validates fixes, communicates test status, establishes QA standards, and mentors 2–3 QA associates. Requires SQL, ETL, cloud, JIRA, Agile, and database testing expertise.

Design, build, and maintain automated and exploratory tests for web and mobile apps. Create test plans, UI/API automation, compatibility and performance testing, perform root-cause analysis, improve test coverage, and develop testing tools and infrastructure to ensure product stability and user-focused quality.

The Senior Finance Planning Analyst analyzes financial and operational data, develops dashboards and self-service reporting, supports budgeting and forecasting, and provides financial modeling and variance analysis. The role partners with Accounting, Sales Operations, HR, IT, BI, and Data Engineering teams to integrate ERP and business-system data, improve FP&A tools, automate reporting, and deliver actionable insights to leadership.

Owns accounting, monthly close, billing, collections, revenue recognition, commissions, AP, forecasting, reporting, and finance systems for a SaaS company. The role leads the Stripe usage-billing implementation, US and India tax compliance, financial modeling, board and investor reporting, external finance partners, and hiring the first accountant. Requires extensive SaaS finance experience, hybrid subscription and usage billing expertise, ASC 606 knowledge, US GAAP close ownership, and startup process-building experience.

Leads end-to-end data engineering initiatives spanning Fivetran ingestion, dbt transformations, Snowflake warehousing, and Power BI consumption. Designs scalable data models and pipelines, troubleshoots ELT and SQL issues, documents technical solutions, and partners with business stakeholders. Mentors engineers, establishes development standards, supports CI/CD, and pilots GenAI applications for documentation, testing, data quality, and natural-language querying.

Design, develop and deliver scalable, secure full-stack Java applications and microservices. Collaborate with product, design and engineering peers, perform code reviews, implement unit and integration tests, and use CI/CD and DevOps practices to ensure high-quality production deployments.