Top SQL Jobs in Hyderabad

The BI Developer will create interactive dashboards, oversee ERP customization, manage data flows, and leverage AI tools to enhance operational efficiency and reporting.

The Product Operations Manager drives clarity and efficiency across product teams by leveraging data insights, aligning cross-functional operations, and enhancing processes for product launches.

The candidate will work with the PeopleSoft AMS team, focusing on Techno-Functional consulting for HCM or FSCM with 4+ years of experience.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

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.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

The Senior Data Platform Engineer will implement and maintain data platform infrastructure, optimize Databricks environments, and provide technical guidance to data engineering teams.

Provide technical support and troubleshooting across PostgreSQL/TimescaleDB and full platform stack. Diagnose and optimise database performance, analyze query plans, implement TimescaleDB features, collaborate with customers and engineering, and document solutions. Participate in occasional on-call coverage and help improve platform reliability.

Support the database operations team by executing SQL commands, managing database users, performing backups, scheduling jobs, and optimizing queries.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Lead design, implementation, and optimization of Salesforce Marketing Cloud (including Marketing Cloud Next). Build multi-channel campaigns and journeys, manage data integrations and segmentation, develop dynamic content (AMPscript, SSJS, HTML/CSS, SQL), monitor KPIs, and mentor team members to deliver personalized, scalable marketing automation solutions.

Lead CRM and loyalty strategy and roadmap, manage Salesforce Marketing Cloud implementations and integrations, execute multi-channel campaigns, drive segmentation and personalization, own performance analytics and ROI, and lead cross-functional teams and external partners to grow revenue and customer lifetime value.

Lead end-to-end delivery and optimization of Salesforce Marketing Cloud/ExactTarget solutions: translate business requirements, design journeys and segmentation, build AMPscript/SSJS/SQL templates and automations, integrate with Salesforce CRM and external systems, execute QA and campaign analytics, mentor juniors, and enforce platform governance.

The Business Analyst will analyze complex datasets using SQL, create visualizations in Tableau, and utilize R and Python for statistical modeling to support business strategies.

The Program Manager will enhance Sprinto's customer journey by managing deployment projects, leading cross-functional initiatives, and improving customer lifecycle processes through data-driven insights and stakeholder management.

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Create and own technical content (blogs, tutorials, demos, video) for Altimate Code. Generate ideas tied to the modern data stack, deeply test the product, support SEO/AEO, build editorial workflows, and distribute content across developer channels.

Design and implement Python-based automated UI and API tests using Selenium, Pytest, Rest Assured or Postman. Validate data with SQL, maintain test environments, collaborate with development and QA, analyze results, and report defects to ensure high-quality deliveries.

Develop, test, debug and maintain web and mobile fintech applications. Work in an Agile environment with cross-functional teams, manage time-sensitive deliverables, provide technical support, and improve user experience while reporting to IT leads and the CTO.

Deploy and productionize ML models on GCP Vertex AI for real-time and batch inference. Build scalable pipelines, perform feature engineering, monitor model performance and drift, support ML-Ops and governance, and collaborate with teams on retail banking (credit risk, marketing, customer service) use cases.