Top SQL Jobs in Pune

Develop and support Oracle EBS R12.x Supply Chain applications, including Items, BOM, Inventory, and Order Management. Build custom forms, reports, interfaces, and extensions using Oracle tools, PL/SQL, and SQL. Troubleshoot production issues, perform root cause analysis, support integrations, testing, UAT, upgrades, patching, and performance tuning. Collaborate with business and functional teams, document solutions, manage service requests, and support NPDI transformation initiatives.

Designs, develops, and manages enterprise-scale data platforms and ETL/ELT pipelines using dbt, Snowflake, Airflow, SQL, Python, and GitLab CI/CD. Responsibilities include data modeling, warehouse optimization, workflow monitoring, data governance, quality, observability, and performance tuning. The role supports AI/ML initiatives through feature-ready datasets and pipeline integration, collaborates with technical and business stakeholders, mentors team members, and contributes to architecture and engineering best practices.

Designs, develops, and supports enterprise integrations using Oracle Integration Cloud. Builds REST and SOAP APIs, file-based, database, and application integrations connecting Oracle Cloud, third-party, and on-premises systems. Configures mappings, lookups, connections, fault handling, and error management; monitors production integrations, troubleshoots issues, performs root-cause analysis, and supports testing, deployment, documentation, and production operations while collaborating with onsite teams and stakeholders.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

Lead design and implementation of an Analytic Foundation and scalable big-data services delivered via APIs. Build data pipelines, analytics and data models, responsive UIs, and production ML/data-driven applications. Ensure high-quality, well-tested code, mentor junior engineers, drive process improvements, and collaborate with product and design teams to deliver customer-focused data solutions.

Own revenue operations analytics, reporting, attribution, process design, pipeline management, and workflow automation for a designated revenue segment. Build dashboards, track KPIs, identify growth opportunities, develop business cases, execute initiatives, troubleshoot systems, and partner with leadership on performance and change management.

Provides end-to-end operational management and technical support for Edifecs Enrollment Management applications. Responsibilities include deployments, configuration, upgrades, troubleshooting, performance analysis, root cause resolution, monitoring, automation, customer issue management, documentation, and collaboration with engineering and development teams. The role supports enterprise customers, works in shifts, and may require weekend on-call coverage.

Own the strategy and roadmap for HighLevel’s Custom Objects and CRM data platform. Define scalable entities, relationships, permissions, APIs, integrations, and data capabilities across workflows, reporting, AI, and other products. Partner with Engineering and Architecture on data modeling, scalability, performance, integrity, and platform extensibility. Lead discovery through delivery, adoption, and iteration while aligning cross-functional teams and measuring customer and platform outcomes.

Governs material master data through SAP MDG, reviewing and approving CRUD requests, defining data standards and quality metrics, identifying and resolving data quality issues, and reporting governance activities. The role also extracts and catalogs item information, assigns classifications and values, and standardizes spare-parts data. It requires engineering or diploma qualifications, SAP MM training, master data management expertise, data cleansing experience, and knowledge of materials used in industrial sectors.

Leads penetration testing engagements across application or network security, coordinating client readiness, timelines, communications, and project tasks. Performs manual exploitation and vulnerability assessments using security tools, researches emerging threats, documents findings, and produces professional reports with remediation guidance. Leads client calls from kickoff through high-severity finding notifications and closeout. Requires strong technical communication, organization, troubleshooting, and independent execution.

Own the CRM Opportunities backend end to end, designing scalable data models, APIs, distributed workflows, event-driven systems, and background jobs. Improve performance and reliability for high-volume, multi-tenant SaaS workloads through indexing, sharding, caching, and query optimization. Build occasional Vue.js UI features, instrument production systems, and lead incident response and postmortems. Translate ambiguous customer and business needs into reliable production services with strong data correctness and operational excellence.

Leads a development team responsible for building, supporting, modernizing, and migrating an enterprise MDM platform. Designs solutions, writes and reviews code, manages sprint delivery, resolves complex data and platform issues, oversees testing and CI/CD, ensures SLA, security, SOX, and compliance requirements, and drives data integration, reconciliation, and migration initiatives. The role also includes hiring, coaching, performance management, vendor coordination, incident resolution, and platform stability ownership.

Develop and maintain enterprise data quality controls, validation rules, workflows, integrations, reconciliation processes, dashboards, and monitoring frameworks across MDM, ERP, CRM, Snowflake, and data lake systems. Investigate and remediate data quality incidents, analyze root causes, manage SLA-driven resolution, and implement permanent fixes. Gather requirements, present findings to global stakeholders, and support data governance and continuous improvement initiatives.

Apply data science to supply chain planning and inventory management: develop analytical tools, optimization models, and replenishment strategies using SAP data, ETL pipelines, Power BI, and statistical methods to improve processes and deliver financial value.

Develop, support and maintain Oracle EBS R12 and Oracle Cloud ERP technical solutions for Finance modules. Build PL/SQL packages, reports, data models, and integrations; troubleshoot production issues; participate in testing, documentation, and cloud/patch updates while collaborating with analysts and senior developers.

Produces and distributes daily, ad hoc, trending, and summary reports. Analyzes reporting data, responds to client inquiries, consults with business leaders, develops and maintains reporting processes, and improves reports using new data sources. Coordinates with project managers, verifies electronic reports, manages production schedules, and supports reporting solutions aligned with customer business goals.

Produces daily, ad hoc, trending, and summary reports; analyzes data and reporting needs; develops and maintains reporting processes, graphs, schedules, and data sources; verifies and distributes electronic reports; consults with business leaders and project managers; and responds to client inquiries. The role requires database and SQL familiarity, reporting solution knowledge, strong communication, organization, attention to detail, and proficiency in Microsoft Office.

Leads and scales a global customer support function for a non-custodial crypto wallet. Responsibilities include managing and developing support staff, handling technical escalations, improving workflows and knowledge systems, monitoring service metrics, and enhancing AI-powered support. The role partners with Product, Engineering, Operations, and the AI Platform team on quality evaluation, safe human escalation, automation, rollout readiness, and user experience improvements.

Build and operate governed MLOps and LLMOps platforms on Databricks. Productionize ML and GenAI models, RAG pipelines, vector search, and inference services; implement CI/CD, data quality, security, lineage, observability, incident response, disaster recovery, and cost controls. Partner with data science, engineering, platform, product, and security teams to ensure reliable, secure, compliant, and cost-effective AI workloads across development, QA, and production environments.

Build and maintain batch and streaming data pipelines across AWS, Azure, and GCP using Databricks, Spark, PySpark, SQL, and Delta Lake. Implement medallion architecture, CDC, SCD, data quality, governance, security, metadata, and lineage controls. Configure storage, orchestration, CI/CD, monitoring, troubleshooting, and performance optimization. Collaborate with architects, data scientists, engineers, analysts, and product teams while documenting pipelines, transformations, testing, and operational procedures.

Build governed Databricks Lakehouse foundations and productionize machine learning and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, and predictive analytics. Develop reliable batch and streaming workflows, CI/CD, monitoring, governance, security, lineage, and semantic models. Collaborate with product, data, platform, and domain teams to deliver measurable customer value while meeting reliability, compliance, cost, and operational objectives.

Develop and maintain backend applications for field team operations. Responsibilities include designing systems and data models, resolving bugs and bottlenecks, writing unit-tested reusable code, integrating internal and external tools, and collaborating with product managers on system design. The role requires Core Java, object-oriented programming, SQL databases, web-service integration, and RESTful APIs, with Git and Spring or Hibernate experience preferred.

Develop high-performance core applications that collect and move large volumes of data. Own features and modules across the development lifecycle, building enterprise-grade, server-side, multithreaded, asynchronous, cloud-scale systems. Responsibilities include SQL performance programming, database design, and collaboration across remote teams using Scrum and Agile methodologies. Cybersecurity, SaaS integrations, data modeling, and ontology experience are advantageous.

Develop, deploy, and maintain machine learning and AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Build scalable data and ETL pipelines using cloud platforms, big data technologies, and databases. Apply TensorFlow, PyTorch, Hugging Face, and cloud AI services while creating data visualizations and optimizing analytics workflows.

Manages Workday HRIS architecture and technical operations across reporting, security, payroll configuration, integrations, and solution design. Develops advanced reports, dashboards, calculated fields, and automation; oversees integrations, payroll interfaces, testing, issue resolution, and release impacts. Administers security controls, audits, governance, documentation, and compliance. Partners with HR, Payroll, IT, Finance, vendors, and business leaders to translate requirements into scalable global solutions while mentoring team members and driving process improvements.