Top SQL Jobs in Pune

Manage delivery of large-scale technical projects across the bank using Agile/SAFe. Collaborate with business, engineering, QA and vendors to design, build and deploy secure microservice-based solutions, manage risks and change requests, allocate resources, and coach teams to meet timelines, quality and regulatory requirements.

Develop, maintain, and support an enterprise MDM platform across multiple domains. Implement MDM features, data integration/ETL, and complex SQL; write and test code; resolve incidents and production issues; support data migration and reconciliation; follow SDLC, CI/CD, security, and SOX compliance; collaborate with business, vendors, and cross-functional teams.

Execute scheduled, ad hoc, and release-milestone software tests; review test cases; report defects in issue-tracking systems; communicate status in standups; and collaborate with software test managers and development teams. The role requires knowledge of QA methodologies, black-box, grey-box, and white-box testing, strong communication and organization, independent and team-based work, and participation in planning and professional meetings.

Provide functional Oracle E-Business Suite R12 support for SCM/Distribution modules (Purchasing, Order Management, Inventory, iProcurement, iSupplier, WMS, Pricing). Gather and document requirements, configure modules, perform gap analysis, create functional documentation, support UAT, train end users, manage service requests, and drive continuous process improvements across Procure-to-Pay and Order-to-Cash processes.

Design, build, and maintain data pipelines, warehouses and lakes; ensure data accuracy, security and scalability; develop processing and analysis algorithms; support ML model deployment; lead or coach team members and influence cross-functional decisions while managing risk and controls.

Join an agile Scrum team to design, develop, test, and deliver Windows enterprise software. Mentor junior engineers, write unit/integration tests, collaborate with product owners, estimate work, and use Azure DevOps.

Prepare and maintain daily, weekly, and monthly MIS reports; analyze business data to generate insights; build and maintain dashboards (Power BI/Tableau); automate reports using Excel, Power Query, SQL, or VBA; ensure data accuracy and collaborate with Sales, Finance, Operations, and Management.

The role involves designing and implementing AI and machine learning solutions, translating business challenges into analytical frameworks, and collaborating with teams to deliver insights.

Develops Power BI dashboards, reports, and data models using HR and business data. Analyzes talent acquisition, retention, performance, and diversity metrics to identify trends and actionable insights. Partners with stakeholders to translate analytical needs into technical solutions, automates HR workflows with Power Automate, and communicates findings to nontechnical audiences.

Build production-grade agentic AI systems that reason, search, and execute workflows. Develop RAG pipelines, AI agents, semantic search layers, data processing solutions, dimensional data models, and scalable AI workloads. Work with structured and unstructured data, LLMs, vector databases, cloud infrastructure, CI/CD, and ML observability. Responsibilities include fine-tuning models, prompt engineering, optimizing context windows, and deploying reliable AI applications.

Build and govern Flosum’s revenue operations infrastructure across Salesforce, Marketo, and Gong.io. Own forecasting, reporting, data governance, marketing attribution, sales processes, territory and quota planning, compensation design, enablement measurement, GTM routing, partner operations, and unit economics. This executive-facing builder role aligns outbound, inbound, channel, and product-led motions while establishing scalable systems, accurate forecasts, and cross-functional revenue accountability.

Build and maintain backend applications in Scala, including refactoring, architecture and API design, SQL schema modeling, message-based systems, testing, code reviews, and CI/CD. Collaborate cross-functionally on technical specifications, infrastructure, process improvements, and continuous learning. The role uses Apache Pulsar, Kubernetes, CircleCI, and ArgoCD, with emphasis on reliable, readable code and backend application development rather than data engineering.

Build and improve GoGuardian’s Pear Assessment platform across the full stack. Responsibilities include developing TypeScript and Node.js backend services, React interfaces, OpenSearch semantic search, scalable data pipelines, AWS cloud-native systems, MongoDB data models, and real-time classroom integrations. The role involves optimizing performance, reliability, and analytics, integrating AI services, collaborating cross-functionally, participating in architecture and code reviews, and maintaining strong testing and engineering standards.

Develop automated tests and genomic data analysis pipelines to validate code deployments, detect errors, and ensure the accuracy and integrity of clinical-grade sequencing workflows. Collaborate with software engineers and variant curators to improve bioinformatics processes and prevent production issues. The role combines bioinformatics expertise, large-scale genomic data analysis, software quality engineering, and test automation in a fully remote genomic health platform.

Designs and operates scalable data and machine learning platforms using Databricks, Python, SQL, Spark, and PySpark. Builds batch, streaming, and production ML pipelines; manages Delta Lake, Unity Catalog, Workflows, MLflow, governance, data quality, observability, and model deployment. Partners with data scientists and business teams, optimizes performance and costs, contributes to platform architecture, mentors engineers, and documents operational practices.

Supports client operational and analytical processes by executing procedures, validating deliverables, identifying process improvements, coordinating stakeholders, testing updated workflows, documenting operational models, researching issues, and investigating client questions. Collaborates with senior analysts, delivery leads, engineering teams, and internal stakeholders to provide accurate, timely client results across multiple tasks and time zones.

Supports client operations through data analysis, process execution, quality validation, reporting, secondary research, and investigation of client questions. The role coordinates stakeholders across time zones, documents and tests operational procedures, identifies process improvements, and collaborates with engineering and delivery teams to ensure accurate, timely client deliverables.

Designs, develops, tests, monitors, and maintains scalable software solutions, microservices, and distributed systems in cloud environments. Contributes to architecture and technical strategy, troubleshoots complex issues, supports CI activities, and collaborates on product roadmaps. The role also documents current and future processes, creates technical prototypes, estimates delivery timelines, maintains technical roadmaps, and mentors junior engineers.

Lead BA activities for VisionPLUS-related initiatives: gather, analyze, validate, and document business requirements; create functional specs, user stories, process maps, and acceptance criteria; manage change requests, traceability, risks, and stakeholder approvals; support testing, UAT, release readiness, and post-implementation reviews; mentor BAs and align solutions with business goals and governance in financial services contexts.

The Commercial Analytics Specialist partners with business stakeholders to identify key questions, analyze and visualize data, benchmark processes, and develop solutions supporting commercial decisions. The role leads and mentors Data Scientists, collaborates cross-functionally, communicates insights through presentations and scenarios, and improves business processes. Required capabilities include business development experience, analytical and problem-solving skills, strategic thinking, English communication, and Microsoft Office proficiency. Preferred experience includes marketing, BI and ETL tools, cloud platforms, and data management processes.

Design and standardize data schemas and contracts across multiple enterprise sources. Build and optimize ClickHouse and PostgreSQL schemas, manage schema evolution and migrations via CI/CD, define indexing/partitioning/retention, enforce data quality and governance, document metadata, and collaborate with DevOps to deploy and monitor databases in Kubernetes environments.

Design, build, and deploy Marketing Mix Models and Bayesian statistical models to measure marketing effectiveness, forecast, and inform budget allocation. Apply causal inference and experimentation, analyze large marketing datasets, build Python analytics pipelines, and produce dashboards in Power BI or Looker Studio. Communicate findings and recommendations to stakeholders.

Design, build, and maintain scalable ETL/data pipelines and data management blueprints. Ingest, transform, and curate large complex datasets for analytics, support cloud (AWS) implementations, enable downstream consumers, and provide technical leadership and operational support to ensure data governance, quality, and automation.

Full-stack Java developer role building RESTful services and front-end features. Must use Java JDK 17+, Spring/Spring Boot, Hibernate, write SQL against Oracle/Postgres, and work with React (or Angular). Integrate CI/CD pipelines, cloud services, and apply security (SSL/OAuth).

Implement, configure, and maintain Oracle EBS R12 Advanced Pricing and Order Management. Build custom Pricing Engine extensions with PL/SQL, manage price lists and bulk migrations, troubleshoot pricing calculations and tune SQL, and integrate Advanced Pricing with Inventory, OM, and Receivables. Produce reports using XML/BI Publisher.