Top SQL Jobs in Hyderabad

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.

Lead design and implementation of multi-language, scalable distributed systems and microservices. Provide technical leadership on architecture, AI/ML integration, cloud deployments, CI/CD, containerization, and security while mentoring teams and ensuring best practices.

Lead and mentor a data engineering team to design, build, and optimize scalable batch and real-time data pipelines using Databricks, Spark, Delta Lake and cloud services (Azure/AWS). Implement Medallion architecture, ETL/ELT workflows (ADF/Databricks Workflows), CI/CD and IaC, ensure data governance, performance, and stakeholder collaboration.

Hands-on senior software engineer responsible for full SDLC: coding, TDD, CI/CD, source control, debugging/optimizing SQL, designing user stories, mentoring teammates, and contributing to a modern energy trading risk platform.

Hands-on Principal Engineer responsible for designing, developing, testing, and supporting cloud-native day-ahead and intra-day auctions software. Lead a small team (1-3), conduct code and design reviews, mentor engineers, participate in Agile ceremonies, drive best practices, and deliver high-quality, secure solutions on Azure using .NET and containerization.

QA Engineer II owns quality for assigned user stories and small features, designing and executing manual and automated tests (Playwright/JS/TS). Responsibilities include UI/API/database/end-to-end testing, maintaining regression suites, integrating tests into CI/CD, defect triage, using AI-assisted testing tools responsibly, and mentoring junior QA engineers while participating in Agile ceremonies.

Lead QA Engineer defines quality strategy, establishes testing standards across manual, automation (Playwright), API, performance and CI/CD quality gates, and leads release governance. Responsibilities include architecture and design reviews, performance testing guidance, root-cause analysis, mentoring QA engineers, and implementing AI-assisted testing practices to ensure release readiness and cross-team quality outcomes.

Execute manual and basic automated tests, document and report defects, perform API and database validation, develop Playwright tests with JavaScript/TypeScript guidance, participate in Agile ceremonies, and use AI-assisted testing tools while validating outputs and following quality and security standards.

The Senior Data Scientist will analyze large datasets, develop ML/AI models, collaborate with teams, and ensure data quality and compliance.

The Lead Data Scientist will analyze large datasets, develop ML/AI models, collaborate across teams, and ensure data quality and compliance.

Provide 1st/2nd line technical support for Performio customers via Zendesk, triage and resolve issues within SLAs, maintain the knowledge base, assist with configuration, testing, and implementations, and recommend solutions and best practices.

Own marketing tracking and measurement across 14 markets, implement and audit GTM/GA4/pixels/server-side tracking, build automated Looker dashboards, run incrementality and A/B/geo-lift tests, define budget allocation frameworks, and set analytics standards and documentation to inform media spend decisions.

Provide application and trade support for equities trading systems: install/administer trading apps, monitor trade flows, troubleshoot FIX connectivity, support clients and sales/trading teams, maintain runbooks, and improve service resiliency.

Gather, clean, and analyze data from multiple sources; build and maintain Power BI and Excel dashboards; run SQL queries and Python scripts for automation; collaborate with cross-functional teams to interpret trends and communicate insights; create documentation and improve reporting processes.

Design, develop, and deploy cloud-native, containerized microservices using C#/.NET and SQL, automate CI/CD pipelines, troubleshoot app-to-orchestration issues, and collaborate in Agile/Scrum delivery.

Lead SEO strategy for multiple ecommerce clients, diagnose technical and performance issues, build prioritized implementation roadmaps, analyze GA4/Search Console data, improve visibility and revenue, advance GEO/AEO and AI-search methodologies, and coordinate cross-functional implementation and client reporting.

Design, implement, and improve monitoring, alerting, and self-healing for WMS platforms. Ensure production stability and performance, perform root-cause fixes, integrate WMS with external systems via APIs/webservices, and enforce standards through solution reviews. Drive automated testing, deployment, code reuse, documentation, and regional/global WMS standardization while collaborating with IT and business teams to deliver scalable, secure warehouse solutions.

Senior Azure Data Engineer responsible for designing and implementing end-to-end data pipelines using Azure Databricks, Azure Data Factory, and PySpark. Work with Delta Lake, Spark SQL, and data warehousing concepts to build scalable ETL/ELT solutions; collaborate on analytics and Power BI integration. Availability for 2pm-11pm/12am IST shift required.

Design, develop, enhance, and maintain core product features across front- and back-end using PHP and modern JavaScript frameworks. Build APIs and reusable libraries, fix critical issues, review pull requests, and work in an agile, collaborative team to expand product functionality.

Design, develop, and maintain enterprise integrations and internal tools using AI-assisted development. Lead architecture decisions, mentor peers, perform troubleshooting, collaborate across teams, and document integration solutions while championing AI-driven best practices and quality.

Design, develop, and maintain scalable full-stack web applications using Java/Spring Boot and Angular or React. Implement RESTful APIs, work with relational databases, write testable code, participate in code reviews, troubleshoot production issues, and follow Agile/Scrum practices.

Manage, monitor, and optimize AWS Aurora (MySQL/PostgreSQL) databases. Perform installs, configuration, patching, upgrades, performance tuning, backups/restores, disaster recovery, migrations using AWS DMS, and infrastructure automation with Terraform. Ensure availability, security, and troubleshoot production issues.

Design and build scalable batch and real-time data pipelines using Spark, Kafka, Java and SQL. Develop ETL/ELT frameworks, streaming solutions, data models and cloud data warehouses. Automate workflows with Airflow/DBT, monitor reliability, collaborate with Data Science and Engineering, and follow governance, security, and cost-optimization best practices.