Top SQL Jobs in Hyderabad

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.

Develop, customize, and support Oracle EBS solutions using PL/SQL, OAF, and Oracle Workflow. Build OAF pages, AMs, controllers, and workflow customizations. Implement interfaces, conversions, APIs, and data migrations; perform debugging, performance tuning, deployments, and production support while collaborating with functional consultants and business users.

This role manages project budgets, financial tracking, and variance analysis while leveraging SQL and Power BI to provide insights and reports.

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 Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

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.

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.

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.

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.

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.

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.

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, 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, 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.

The Data Engineer will design and maintain AI data pipelines, manage cloud data infrastructure, and ensure data quality for analytics and machine learning operations.

Design, build, and deploy scalable business process automations using Python, SQL, and RPA (UiPath, Power Automate). Create ETL pipelines with Pandas/NumPy, integrate APIs, write unit tests, implement OOP-based modular code, handle exceptions, and translate business needs into technical requirements while managing stakeholders and delivering production-ready solutions.

Implement and maintain ETL/data‑warehousing solutions using IBM DataStage. Develop complex SQL and database solutions (Oracle/Teradata). Collaborate with team, provide technical leadership, communicate with stakeholders, and support Unix-based deployments.