Top SQL Jobs in Hyderabad

Develop and maintain operational dashboards, recurring reports, and data queries supporting loan origination, underwriting, and portfolio management. Analyze KPIs, application trends, merchant behavior, and advance performance while ensuring data accuracy and resolving discrepancies. Collaborate with cross-functional teams to translate reporting needs into visualizations, document data definitions, support governance, and deliver ad hoc analysis.

Provide senior application support for private credit and lending platforms, serving as the escalation point for incidents, integrations, data issues, and application health. Lead triage, root cause analysis, remediation, post-mortems, releases, monitoring, vendor escalations, and stakeholder communications. Develop automation and support documentation, enforce SLAs, drive permanent fixes, and mentor junior staff. The role requires financial-services workflow knowledge, SQL, scripting, database troubleshooting, production support, and experience with Windows or Linux environments and monitoring tools.

Develop predictive models for commercial credit risk, underwriting, pricing, customer segmentation, and portfolio performance. Analyze financial, behavioral, and merchant data; conduct experiments; integrate models into production; and create monitoring tools supporting model performance, governance, explainability, and regulatory compliance. Collaborate with Credit Risk, Underwriting, Product, Engineering, and Compliance teams, communicating technical findings and business recommendations to diverse stakeholders.

Validate dbt borrowing base pipeline outputs against counterparty reports, investigate discrepancies, monitor pipeline runs, document root causes, resolve straightforward data issues, and escalate complex problems to Analytics Engineering. The role also maintains reconciliation procedures, communicates findings to stakeholders and counterparties, and may contribute minor dbt model fixes. It offers a path to lead a team of 3–5 analysts.

Conduct business analysis, identify process improvements, translate business objectives into functional and technical requirements, and lead complex cross-functional projects. Facilitate workshops with senior stakeholders, develop business cases and ROI analyses, assess risks, monitor implementation progress, and guide organizational change. Mentor junior analysts and support process optimization initiatives using business analysis methodologies, enterprise systems, business intelligence platforms, and digital transformation practices.

Administer Microsoft SCCM/MECM for application deployment, patch management, OS imaging, upgrades, and endpoint troubleshooting. Maintain site health, distribution points, and servers; investigate CM and Windows logs; perform remote fixes; create collections using WQL; and support remediation efforts with security and application teams across global sites.

Own core backend computation services that transform financial and operational data into correct, reproducible, traceable results. Design configuration-driven component libraries and runtimes, set-based warehouse computations, tenant-level guardrails, feature controls, audit logging, and data lineage. Build isolated, multi-cloud-ready customer-hosted deployments and integrate them with enterprise environments. Work directly with customer engineering and finance teams, establish backend architecture patterns, review designs, mentor engineers, and collaborate with data, AI, and product teams.

Leads the creation of the company’s QA function, including automation frameworks, testing strategy, quality processes, metrics, and team development. Owns API, frontend, backend, database, performance, security, CI/CD, and AI/ML testing for a financial SaaS platform. Builds and manages a QA team, establishes release quality gates, validates LLM behavior and responsible AI practices, coordinates compliance and security testing, and partners with Product, Engineering, and DevOps to improve reliability.

Develop and support enterprise integrations involving SAP and Informatica MDM. Build data mappings, workflows, and integration processes; manage master data governance, transformation, cleansing, matching, and survivorship. Troubleshoot integration issues, work with relational databases and SQL, and document solutions. Preferred experience includes SAP ECC or S/4HANA, SAP PI/PO or CPI, Informatica IDQ or PowerCenter, APIs, cloud and hybrid architectures, Agile development, and relevant certifications.

Build foundational software engineering skills by completing well-scoped tasks in Amtech’s AWS-hosted Cloud API and/or 4D ERP platform. Responsibilities include writing and updating unit and integration tests, debugging routine issues, learning CI/CD and SDLC practices, participating in code reviews and Agile ceremonies, communicating progress, and developing familiarity with ERP business logic across order management, production, inventory, and finance.

Lead development and deployment of ML/AI models: analyze large datasets, build data pipelines, evaluate and optimize model performance, collaborate across teams, and communicate insights via visualizations.

Develop Salesforce applications using Apex, Visualforce, and Lightning, assist with deployments, and support Salesforce administration tasks.

Own the architecture, scalability, governance, and technical direction of Amtech’s cloud data platform, including warehouses, tenant data stores, feature stores, and event pipelines. Lead multi-tenant data architecture, hybrid AI data routing, data security, observability, and reliability standards. Build data foundations for analytics, machine learning, and AI agents, including vector databases and RAG pipelines. Provide technical leadership through design reviews, mentoring, roadmap planning, and cross-functional architecture collaboration.

Leads the design, development, and delivery of scalable Python applications and cloud-native services. Defines architecture and technical standards, ensures code quality and application reliability, and resolves complex technical issues. Mentors developers, manages technical delivery, collaborates with cross-functional stakeholders, and supports Agile/Scrum planning and releases. The role also promotes responsible AI-assisted development and may work with data engineering technologies, messaging systems, observability tools, and machine learning frameworks.

Design, implement, and optimize Oracle Incentive Compensation Cloud solutions: requirements gathering, configuration, customization, integrations, testing, performance tuning, documentation, and production support while leading delivery teams.

Design, build, and operate a scalable, secure enterprise IoT data ingestion and REST API platform on AWS. Implement event-driven, serverless and containerized services, optimize performance, lead technical decisions, mentor engineers, manage incidents, and ensure monitoring, CI/CD, and operational excellence for real-time telemetry processing and analytics.

Design, configure, and optimize Oracle ICM Cloud solutions including compensation plans, crediting rules, rollups, integrations with Oracle Cloud, testing, performance tuning, production support, and documentation/training while leading technical delivery.

Design, develop, and support enterprise integrations using Oracle middleware (SOA Suite, OSB, BPEL). Build and maintain service mediation, transformations, adapters, security policies, and workflows. Troubleshoot production issues, optimize performance, and collaborate on integration architecture and monitoring.

Design, build, and deploy scalable ML models and pipelines from research to production. Own feature engineering, model tuning, real-time prediction, MLOps automation, monitoring, and lifecycle management to solve visibility, forecasting, and freight audit problems.

Develop and maintain Informatica MDM SaaS solutions using CAI and CDI. Implement architectures designed by technical leads, orchestrate and optimize APIs, write and tune SQL queries, collaborate with clients and internal teams, and independently deliver scalable, maintainable solutions with minimal supervision.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and 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.

Design, build, and maintain scalable data pipelines and ETL solutions. Collaborate with teams to gather requirements, ensure data quality and integrity, optimize data workflows, and support analytics and decision-making across the organization.

Translate client requirements into analyses, gather and analyze data, derive actionable insights using SQL/R/Python/Excel, and build or improve statistical models for decision-making.

Develop and maintain Java EE applications and REST APIs using Spring (MVC/Boot). Analyze requirements, write test-driven Java code, implement unit tests, optimize performance, design SQL/PLSQL, and collaborate in Agile teams to ensure delivery and CI/CD integration.