Top SQL Jobs in Hyderabad

Lead technical design and delivery of Salesforce Marketing Cloud and Salesforce CRM solutions. Build personalized campaigns, data models, journeys, integrations, and automation. Collaborate with business and tech partners on roadmaps, testing, documentation, and optimizations to improve marketing-to-sales processes and platform reliability.

Senior Node.js developer responsible for building large multi-tenant web and client-server applications. Requires 5+ years Node and SQL experience, cloud development (AWS/Azure), RESTful API design, strong OOD/design patterns and security/authentication knowledge. Works in Agile teams; Ruby experience and advanced degree are a plus. Must be authorized to work in the U.S.

Lead design and delivery of enterprise BI solutions using Power BI and Microsoft Fabric. Build data models, dashboards, real-time analytics, and AI-powered insights. Collaborate with stakeholders, Data Engineering, and US leadership to turn complex requirements into scalable, high-performance reports and analytics solutions.

Lead the development and execution of product roadmaps, analyze market trends, collaborate with cross-functional teams, and deliver impactful solutions in Healthcare-FinTech.

Lead architecture and technical direction for a scaling SaaS platform. Modernize and evolve distributed systems, databases, and cloud infrastructure; improve reliability, observability, and CI/CD; mentor engineering teams and set organization-wide engineering standards.

Design, build, and optimize Databricks-based big data pipelines and ETL workflows using Spark, SQL, and Python/Scala. Maintain data lakehouse architectures, enforce governance and security, automate CI/CD and IaC, monitor cluster performance, and collaborate with data teams to enable AI/ML workflows.

The Data Operations Specialist processes, audits, and verifies data for supplier.io, ensuring data quality through research, analysis, and validation tasks across multiple projects.

As a Data Engineer, you will design and maintain systems for processing large datasets, develop data pipelines, ensure data integrity, and optimize workflows for analytics and machine learning.

Build and maintain full-stack web and mobile applications using React/React Native and Python backends. Design relational databases, ETL pipelines, and REST APIs. Integrate enterprise systems, troubleshoot production issues, optimize performance, and collaborate with product, design, and AI teams.

Looking for a candidate with 4+ years of experience in Oracle Apps MFG, AR, and P2P modules. Strong technical skills in PL/SQL, SQL, and Forms & Reports are required.

The Oracle SCM Functional Consultant will support clients in the purchasing modules of Oracle Apps, focusing 80% on functional and 20% on technical aspects, requiring hands-on knowledge of various modules and pricing APIs.

Apply statistical and machine learning methods to marketing datasets to build segmentation, propensity, attribution, LTV, and personalization models. Clean and structure client data, translate business questions into analytical approaches, present findings to stakeholders, and collaborate to operationalize models into marketing platforms and production workflows.

Design, build, and optimize orchestrated data pipelines using dbt, Airflow, Azure Databricks, PySpark, SQL and Python. Implement CI/CD and automation, ensure data quality, perform ad-hoc analysis and reporting, collaborate with cross-functional teams, and troubleshoot DAG failures to support data-driven decision-making.

Validate AI voice bot functionality by creating/executing test cases from business documents, running functional/regression/integration/API tests, verifying conversational flows and intent recognition, supporting automation efforts, managing defects, and assisting production validation and release activities.

Lead design, build, deploy, and monitor enterprise-scale AI/ML and Generative AI systems. Own end-to-end ML pipelines, scalable inference, vector search and RAG applications, MLOps, observability, governance, CI/CD, model lifecycle management, and production support. Mentor teams, collaborate with stakeholders, and optimize AI systems for scalability, latency, reliability, and cost.

Design, build, and deploy AI/ML and Generative AI solutions for enterprise use cases. Build and maintain end-to-end ML pipelines, deploy models to production, and implement monitoring, observability, and model-drift detection. Work with APIs, vector databases, embeddings, and RAG-based applications, and collaborate with cross-functional teams to optimize scalable AI deployments.

Build Plane's outbound engine end-to-end: source and enrich lists, run multichannel cold email and LinkedIn sequences, maintain deliverability, integrate LLMs and automation, sync CRM and route leads, instrument attribution, and optimize for reply rate and pipeline.

Design and develop Streamlit web applications and dashboards, build and optimize database integrations (relational and NoSQL), implement backend functionality, ensure code quality via reviews, deploy and monitor apps on cloud platforms, troubleshoot performance issues, and create Power BI visualizations. Optionally integrate GenAI features and vector-search capabilities.

Develop and enhance database-driven product features, provide post-go-live production support, write and optimize complex SQL and stored procedures, perform query performance tuning, and design/maintain triggers, indexes, and views within RDBMS environments.

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 analytics function: define data strategy, ensure data quality, perform advanced statistical and ML analysis, build dashboards (Tableau/Superset/Power BI), provide actionable insights to stakeholders, collaborate across growth/risk/CRM/product, and drive continuous improvement in analytics practices.

Analyze multi-dimensional data to build churn and propensity models, lead campaign analytics, support product and risk teams with cohort and funnel analysis, drive end-to-end analytical projects, and mentor junior analysts to improve retention and conversion.

Lead UI architecture and design of scalable Vue.js applications, build design systems and shared component libraries, mentor teams, ensure code quality, and contribute as a full-stack developer with emphasis on performance and developer workflows.

Design, build, and maintain high-performance RESTful APIs with Node.js/Express. Manage and optimize relational database schemas and queries, write unit and integration tests, troubleshoot production issues, improve system scalability, and participate in code reviews and cross-team feature development.

Analyze multi-dimensional lending data to build churn and propensity models, run campaign and cohort analytics, support product and risk decisions, and lead end-to-end analytical projects. Collaborate with cross-functional teams, communicate insights, track impact, and mentor junior analysts to improve retention, targeting, and user experience.