Top SQL Jobs in Hyderabad

Design and develop cloud-based solutions using Kubernetes and microservices architecture. Troubleshoot issues, ensure code quality, and integrate APIs in a full-stack role.

As an Implementation Consultant, you will ensure efficient implementation of ICM solutions, collaborate with customers, conduct testing, and support customers throughout the go-live process.

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.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.

Design, build, and optimize scalable ELT/ETL pipelines on Azure using ADF and Databricks, integrate data into Snowflake, implement Data Vault 2.0 modelling, ensure data quality and performance, and collaborate with stakeholders and analytics teams to maintain production workflows.

Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

Responsible for building and maintaining scalable data pipelines on Databricks. Collaborates with data scientists and stakeholders to ensure high-quality data for analytics and ML.

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.

The role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.

The Data Analyst will analyze large datasets, build scalable queries and dashboards, and provide insights using Databricks, collaborating with stakeholders and data teams.

The QA Engineer will develop and implement test strategies, conduct various types of testing, and ensure software quality throughout the development lifecycle.

The Data Analyst will collect and analyze large datasets, create dashboards and reports, and communicate insights to stakeholders with varying technical expertise.

The Software Engineer will design, develop, and maintain backend services, optimize APIs, collaborate with teams, and resolve technical issues.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

The Forward Deployment Engineer will build AI agents, automate workflows, lead enterprise onboarding, create BI reports, and collaborate with other teams to enhance customer success.

Design, develop, and maintain SAS-based ETL, analytics, and alerting solutions for financial crime detection. Build dashboards, automate workflows, troubleshoot data and configuration issues, and collaborate with compliance, fraud, and IT teams.

The role involves designing, developing, and maintaining backend services for an Identity Security Platform, collaborating with cross-functional teams, and optimizing performance and security.

The Data Engineer will manage data ingestion, perform quality control, support data science needs, and integrate third-party data for improved analytics at SkySpecs.

As a Full Stack Developer, you will design, develop, and maintain software solutions, collaborate with teams, conduct testing, and mentor junior developers.

The role involves developing data-driven features for pricing strategies, building analytical models for forecasting, and collaborating with teams to deliver insights.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

As a Technical Pre-Sales Specialist, you will lead technical discovery, configure demos, and collaborate with teams to translate customer challenges into AI-driven solutions.

Analyze end-to-end cellular network performance, design scalable data pipelines, develop analytics to extract application-layer QoE insights, and collaborate with network operators on data collection and optimization.

The GTM Engineer will design and build automation systems for lead routing, pipeline management, and data syncing across various tools to enhance sales productivity and revenue growth.