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The Junior Data Engineer will support day-to-day monitoring, first-level checks, basic troubleshooting, data validation, ticket updates, and documentation activities for data engineering pipelines and applications. This role requires a basic understanding of SQL, data engineering concepts, ETL/ELT processes, monitoring, incident management, and production support. The resource will work under the supervision of intermediate and senior engineers. Monitor scheduled data pipeline runs, job status, alerts, file arrivals, and data refresh activities. Perform first-level checks for failed jobs, missing files, incomplete loads, data mismatch, and alert notifications. Create, update, and track incidents, service requests, tasks, and change requests in ServiceNow. Run basic SQL queries, perform data checks, validate job outputs, and support source-to-target reconciliation. Collect logs, screenshots, error messages, and supporting details before escalating complex issues to senior resources.

Assist in the design, development, testing, and support of Data & Analytics solutions, including data pipelines, data models, datasets, dashboards, and reports. Support ETL/ELT development activities, including data extraction, transformation, loading, mapping, reconciliation, and validation. Write and maintain basic to intermediate SQL queries and Python scripts to support data preparation, automation, validation, and reporting needs. Support development of Microsoft Power BI reports and dashboards using approved design standards, data models, visuals, slicers, filters, and basic DAX calculations. Assist in building Power BI semantic models by understanding source tables, relationships, joins, business grain, measures, dimensions, and reporting requirements. Work with data sourced from cloud platforms, databases, and Databricks to support reporting and analytical use cases. Participate in requirements discussions with project teams and business stakeholders; document reporting needs, data definitions, assumptions, and open questions.

Develop, execute, and maintain automated test scripts for web applications and APIs. Perform manual and automated testing activities, including functional, regression, integration, performance, smoke, and API testing. Support and maintain laboratory facilities and test infrastructure utilized by global engineering teams. Investigate, document, and track software defects using bug-tracking tools. Review and validate technical documentation for accuracy and completeness. Provide technical support and participate in project activities as required. Collaborate with cross-functional and global teams to enhance software quality and testing effectiveness.

Technical Excellence: Proficient in Python for building analytical solutions and supporting risk management use cases. Hands-on experience with Databricks for scalable data processing, transformation, and analytics workflows. Strong data engineering capability to design, build, and optimize reliable data pipelines and datasets. Working knowledge of Azure environments to support cloud-based analytics and data platform operations. Able to own end-to-end delivery of technical workstreams with a focus on quality, performance, and timely execution.

We are looking for enthusiastic and highly motivated AI Software Trainees with excellent communication skills and a strong passion for Artificial Intelligence, Full Stack Development, and DevOps. The ideal candidate should have a solid understanding of software development fundamentals, be eager to learn emerging technologies, and be ready to work on real-world AI-driven projects. Key Responsibilities Develop and support AI-powered web applications. Assist in Full Stack development using modern frontend and backend technologies. Work with Generative AI, LLMs, AI APIs, and automation tools. Support cloud deployments, CI/CD pipelines, and DevOps activities. Collaborate with cross-functional teams to design, develop, and deliver scalable solutions. Participate in code reviews, testing, debugging, and continuous learning initiatives.

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End Date: September 3, 2026. Assists with the design/development of software solutions requiring general domain knowledge and limited business expertise. Troubleshoots code issues and continuously evolves IQVIA's platforms to meet user requirements/needs.

- Expected to build knowledge and support the team. - Participate in Problem Solving discussions. - Assist in documenting and communicating findings to relevant stakeholders to facilitate resolution. - Collaborate with cross-functional teams to enhance system stability and performance. - Support junior team members by sharing insights and providing guidance on troubleshooting techniques.

In this role at PwC Acceleration Center India, you will support senior staff and participate in project tasks, using a broad range of tools and methodologies to solve problems. You will be encouraged to develop your personal brand and technical skills, contributing to the overall strategy of the Deals practice. This is an opportunity to grow your career in a fast-paced environment, where your contributions will be valued and your professional development supported.

Build and maintain end-to-end web applications, robust APIs, and microservices supporting global Trailblazer Community collaboration products. Own and manage cloud infrastructure using Terraform and AWS, optimizing pipelines and CI/CD workflows for efficient delivery. Leverage cutting-edge AI-assisted engineering workflows (e.g., Cursor, Claude, GitHub Copilot) to accelerate development, prototyping, and problem-solving. Participate in defining architecture and design considerations for re-use, code management, security, performance, scalability, and accessibility. Work closely with a cross-functional team of engineers, product managers, and UX designers to build features our Trailblazers will love and adopt. Operate effectively in a hybrid engineering model, taking ownership of code quality, automated testing, and release management.

Accenture is inviting applications for Associate Software Engineers to contribute to application development, maintenance, and cloud modernization.

Federal Express Corporation AMEAVerified

Full Stack Developer I

Responsible for collaborating with advisors to define solution designs, developing scalable and high-performing code, ensuring code quality and security, leading code reviews, managing priorities, facilitating cross-team communication, acting as a demo content owner, mentoring junior developers, and supporting leadership and vendor teams. 1. Collaborate with Full Stack Developer Advisors to breakdown epics into capability and business features, define the solution designs, iterate with domain and other solution architects, and help guide application architects for Program Level decomposition and robust architectures. 2. Write and implement scalable, resilient, and high-performing code and microservices solutions. 3. Ensure quality, performance, and security of code and developed solutions. 4. Drive code reviews, provide constructive feedback, and enforce best development practices. 5. Manage and triage competing priorities appropriately and provide effective status updates (incl. issue escalations) to the executive leadership team.