Top SQL Jobs in Hyderabad

As a Senior Data Engineer, you'll design, develop, and maintain cloud data solutions, build data pipelines, ensure data quality, and collaborate with clients and teams.

Develop, customize, and support Oracle EBS solutions using PL/SQL, OAF, and Oracle Workflow. Build OAF pages and AMs, create PL/SQL packages and complex SQL, customize workflows, implement integrations, support data migrations, perform debugging, performance tuning, deployments, and collaborate with functional consultants and users to deliver Oracle EBS technical solutions.

Design, build, and maintain scalable ETL/ELT data pipelines and data models. Orchestrate workflows with Apache Airflow, implement transformations with dbt, use BigQuery and GCS, ensure data quality and performance, and collaborate with analytics teams to support BI and analytics initiatives.

Design, develop, and integrate SAP MDG solutions using ABAP, REST APIs, IDocs, and ETL. Collaborate with cross-functional teams in Agile/SCRUM, maintain code in Git, support testing and automation, and provide on-call support for master data systems.

Design, develop, and maintain scalable SAP integration solutions across cloud and on‑prem systems using SAP Integration Suite/CPI and Solace. Mentor junior developers, enforce integration best practices for security, performance, and migration from PI/PO, and support S/4HANA and Fiori integration scenarios.

Senior Full Stack Developer responsible for building .NET/C# web applications using Blazor/MAUI, implementing CI/CD with Azure DevOps in a three-tier landscape, designing APIs (REST/SOAP), working with SQL, and contributing to solution architecture. Knowledge of Azure AI/LLMs and Python is a plus.

Develop and optimize AI-driven solutions using AI frameworks, cloud platforms, and large language models, integrating AI into business processes.

The Senior QA Engineer will lead automation strategies, build and maintain test suites, design API automation, integrate testing into CI/CD, and collaborate cross-functionally for quality assurance.

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

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.

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.

The Java Architect will define technical vision for scalable FinTech applications, lead architectural design, mentor engineers, and ensure security compliance.

Design, develop, test, implement and support Informatica-based ETL solutions. Collaborate with business and tech teams to analyze requirements, produce design deliverables, tune ETL performance, manage builds, and coordinate with DBAs, Unix and Informatica admins in an onshore/offshore model.

Lead backend development using Java and Spring Boot, architect scalable microservices, oversee cloud deployment, and mentor junior developers.

The Technical Customer Support Engineer will assist customers globally through communication channels, provide technical guidance, document solutions, and collaborate with internal teams to improve customer experience.

Lead QA strategy and execution for fintech platforms: define QA processes, mentor QA engineers, design and run automated and manual tests (API, UI, DB), integrate tests into CI/CD, ensure transaction accuracy, performance and security, and track QA metrics to drive continuous improvement.

Develop and maintain scalable Python/Django back-end services and APIs, integrate front-end and back-end systems, work with relational databases, Unix, and shell scripting, and participate in web architecture design. Must have strong web development experience, version control knowledge, and be willing to work Hyderabad WFO shifts (3PM–12AM).

Design, develop, and maintain scalable .NET Core/C# API solutions using Azure services. Implement serverless functions, event-driven workflows, CI/CD pipelines (GitHub Actions), containerization, and cloud data solutions while ensuring security, monitoring, and performance optimization.

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.

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.

Build and maintain large-scale data architectures and pipelines using AWS and big-data technologies. Develop ETL/streaming solutions, design data lakes, support analytics and ML use cases, implement data governance, optimize queries, and collaborate with product and data stakeholders to deliver scalable, reliable data platforms.

Design, build, test and maintain large-scale data architectures and pipelines (batch and real-time) on AWS. Implement ETL/streaming solutions using Python, PySpark, Kafka, Kinesis/Firehose, DBT, and data warehouses. Build data lake solutions, enable analytics/ML tooling, integrate graph DBs, and support stakeholders with data tooling, governance, monitoring, and documentation.