Top Python Jobs in Hyderabad

The Associate Staff Engineer, QA Automation will engage in both manual and automation testing, utilizing various scripting languages and automation tools. They are expected to support team members and face client challenges while advancing product solutions, all within an agile working environment.

The Senior Staff Engineer, DevOps will lead and contribute to complex engineering projects, focusing on enhancing client solutions and mentoring teammates in a dynamic environment. This role goes beyond coding, requiring the candidate to navigate challenges and elevate team performance.

The Associate Staff Engineer in QA Automation is responsible for manual and automation testing, mentoring teammates, and enhancing solutions with innovative approaches. The role requires proficiency in scripting languages and multiple automation tools, along with a strong understanding of test strategies and agile methodologies.

As an ASIC Verification Engineer at NVIDIA, you'll develop and implement verification methodologies for DFT IP at unit and system levels, create test benches, and collaborate with various teams. Your expertise in SystemVerilog and UVM will be vital in building reusable verification components and achieving verification closure.

The Conversational Architect will lead workshops to gather business requirements, develop engaging virtual agents using Dialogflow CX, communicate QA feedback, and collaborate with product and engineering teams. They will also create wireframes and prototypes, establish design standards, and keep up with industry trends to enhance digital solutions.

The Senior QA Engineer will ensure software quality by designing and executing automated tests, developing testing frameworks, analyzing results for defects, and collaborating with cross-functional teams. Responsibilities include improving testing processes, providing technical guidance to junior staff, participating in Agile practices, and integrating automated testing into CI/CD workflows.

As a Senior Data Analytics Engineer, you will bridge business and technical teams by designing optimized data models, building trust through data stories, and creating enterprise-grade reporting solutions. You will also provide cross-team support and assist in complex data analysis tasks while implementing the DataOps philosophy.

The Senior Data Engineer will develop and maintain data pipelines, guide data infrastructure designs, collaborate with engineering teams, and ensure high reliability and efficiency of data products. Responsibilities include maintaining documentation, providing thought-leadership on projects, and executing diverse tasks in data engineering.

The Data Engineer at NucleusTeq will focus on GCP cloud migration, data engineering tasks, data modeling, ETL processes, and data warehousing to promote business success and digital innovation.

The Adobe AEP Developer will analyze business requirements, develop AEP solutions, implement ETL processes, configure Adobe Journey Optimizer, troubleshoot issues, and continuously enhance AEP functionalities. The role requires expertise in Adobe marketing solutions and core web technologies.

As a Manager of Data Engineering, you will design and implement GCP Cloud-based big data solutions, provide technical leadership, manage data governance and quality, and lead a team in data engineering practices including ingestion, transformation, and visualization.

The Manager, Data Engineering is responsible for designing, architecting, and implementing AWS Cloud-based big data solutions. This role includes overseeing data ingestion, transformation, and governance while leading a team to deliver high-quality solutions. The manager will provide technical leadership and engage with clients to align solutions with their needs, focusing on both functional and non-functional requirements.

The Senior Associate Data Engineering role involves translating client requirements into technical designs, implementing data engineering solutions, and driving design discussions. Key responsibilities include data ingestion, integration, storage, and analytics, focusing on building and optimizing data pipelines using technologies such as Hadoop and various programming languages.

The Senior Associate in Data Engineering will translate client requirements into technical designs, focusing on data ingestion, integration, transformation, and building data analytics functionalities from diverse sources. They will utilize their expertise in various Big Data technologies to implement effective data engineering solutions.

The Senior Associate L1 in Data Engineering will translate client requirements into technical designs and implement data engineering solutions. Responsibilities include data ingestion, integration, storage, performance optimizations, analytics, and creating functionalities for both batch and real-time data processes.

In the role of Senior Associate L1 in Data Engineering, you will translate client requirements into technical designs and implement solutions for data engineering. You will manage data ingestion, integration, storage, computation frameworks, analytics, and cloud computing services, while independently leading design discussions.

As a Senior Associate L1 in Data Engineering at Publicis Sapient, you will be responsible for translating client requirements into technical designs and implementing data engineering solutions. Key responsibilities include data ingestion, integration, transformation, storage, computation frameworks, analytics, visualizations, and cloud computing. Qualifications include at least 2 years of experience in Big Data technologies, hands-on experience with Hadoop stack, proficiency in Java, Scala, and Python, and a Bachelor's degree with 4-5 years of work experience.