Top SQL Jobs in Hyderabad

Leads an offensive security team within an MSSP, overseeing attack surface discovery, application security testing, red teaming, adversarial simulations, vulnerability assessments, and ransomware resilience testing. Develops cybersecurity services, guides research and automation, and presents technical findings to executives. Requires deep expertise in offensive security, cloud and container security, CI/CD testing, exploit development, attack surface management, and security tooling, plus substantial leadership experience.

Develop and lead GIS data migration strategies for utility-sector clients, including extraction, cleansing, transformation, loading, validation, and integration. Build ETL workflows using FME, ArcGIS, and Python; manage enterprise spatial databases; design Utility Network data models and validation rules; document processes; support training; and mentor distributed teams.

Design, build, and maintain scalable ETL/ELT data pipelines and Snowflake-based data warehouses on AWS. Implement ingestion, transformation, orchestration, data quality, performance tuning, and monitoring; collaborate with stakeholders and troubleshoot production data platform issues.

Lead a Java engineering team to design, build, and operate scalable, secure, low-latency FinTech microservices. Drive architecture, SDLC best practices, cloud deployments, observability, compliance (PCI/GDPR), high-volume data processing, and cross-functional collaboration while mentoring and recruiting engineers.

Develop scalable full-stack applications using Python, Vue.js or React, JavaScript, and TypeScript. Design RESTful APIs, databases, data pipelines, and Kafka streaming applications. Deploy and optimize cloud-native solutions on Google Cloud Platform using Terraform, Kubernetes, Jenkins, and Argo CD. Maintain CI/CD pipelines, observability, security, compliance, and HIPAA-aligned practices while collaborating with technical and business stakeholders.

Design, develop, and maintain scalable, secure backend applications, RESTful APIs, microservices, databases, data pipelines, and real-time streaming systems. Deploy and optimize cloud-native solutions on GCP, automate infrastructure with Terraform and Kubernetes, and manage CI/CD using Jenkins and Argo CD. Apply clean architecture, API versioning, integration patterns, observability, security, compliance, and HIPAA data protection practices while collaborating with stakeholders and security teams.

Develop and maintain Tableau or Sigma dashboards, reports, and visualizations across business departments. Translate stakeholder requirements into BI solutions, define KPIs, optimize data sources and workbooks, automate data refreshes, and communicate actionable insights. The role also involves advanced SQL, data modeling, Python scripting, documentation, and collaboration on finance-related data.

Design, develop, and maintain data infrastructure, pipelines, ETL/ELT processes, data warehouses, models, and schemas. Transform and validate complex datasets, implement analytics solutions, and support data governance and quality. Collaborate with technical and non-technical stakeholders to translate business requirements into reliable data solutions. Document data processes and communicate findings across departments including Credit, Structuring, Operations, and Legal.

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.

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.

Own post-purchase customer success for real estate investor buyers. Responsibilities include onboarding, activation, account health scoring, retention and churn management, escalations, refund resolution, customer feedback analysis, reporting, and building playbooks from scratch. The role partners with sales, support, product, engineering, and analytics while directly owning retention metrics and working at least four hours daily with US Eastern Time.

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.

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.

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.

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.

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.

Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

Provide end-to-end support for the EnCore ERP platform focused on plant-floor workflows, production scheduling, inventory, and order-to-cash. Troubleshoot application, database, and system issues using SQL, logs, and diagnostics; own cases, create KB content, coordinate cross-team escalations, and assist with testing, upgrades, and off-hours incident support for customers in North America and Europe.

Audit claim and denial work for accuracy across human and AI outputs, build and maintain QA scorecards and dashboards, design rule-based quality checks, identify root causes and coach billing teams, and surface reproducible AI error patterns to Product and Engineering.