Top Python Jobs in Hyderabad, TG
Responsible for leading the implementation of data projects under the Future Finance Program, focusing on enhancing data and system capabilities within the Finance function. Involves coordinating activities, prioritizing requirements, and strategic planning for data-related initiatives.
Quality Assurance Engineer II responsible for thorough product testing, maintaining quality standards, identifying potential bugs, and working closely with developers to deliver high-quality software products. Involvement in automation frameworks, network protocols, OS and mobile platforms, testing tools, software test plans, debugging tools, and scripting languages.
Responsible for managing CyberArk Privileged Access Management solutions, enforcing policies and procedures, monitoring security incidents, and providing training and support to IT staff and end-users. Collaborate with IT teams for system integration and identify opportunities for process improvements.
Join the DAZN Cloud Systems Engineering Team to maintain and deliver new solutions on a global scale. Work with cutting-edge tooling and automation technologies to ensure DAZN remains a global sports platform. Based in Hyderabad office with access to various benefits and learning resources.
As a Senior Data Engineer at Komodo Health, you will drive the development of data products and tools using technologies like Spark, Airflow, and Snowflake. Responsibilities include writing enterprise-level code, leading data pipelining, and enhancing operational stability of software applications.
The Senior Software Development Engineer is expected to work independently on complex tasks in the software development life cycle. Responsibilities include writing high-quality code, participating in design and code reviews, creating automated tests, and contributing to team improvement. The role requires 5 years of software development experience, including testing, maintaining, and launching software products, as well as knowledge of software design and architecture.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
As a Senior Engineering Manager at Blink Health, you will lead a team of software engineers to power Blink's pharmacy platform, focusing on product quality, continuous improvement, and scaling for growth. Your role involves technical leadership, talent recruitment, and driving the long-term roadmap for the team.
Responsible for maintenance and deployment of Linux OS images for POS registers in a retail environment. Design and implement enhancements to support business and security requirements. Collaborate with DevOps team for real-time monitoring and issue response.
Seeking a Senior Backend/DevOps Engineer to join a dynamic Tech Team at Oppizi. Responsibilities include using modern technologies, collaborating with teams, developing testable code, troubleshooting issues, and providing technical guidance. Full-time remote position with a focus on innovation and development of platform features.
Seeking a Data Engineer with 8+ years of experience in data warehousing, RDBMS, cloud technologies, and scripting languages. Responsibilities include developing data pipelines, supporting data feeds, evaluating business needs, and improving data quality.
Reputation.com is seeking a Principal DevOps Engineer to work on cloud infrastructure architecture and programming using cutting-edge technologies like Google Kubernetes Engine, MongoDB, ElasticSearch, and Google Cloud Platform. The role involves designing and implementing cloud infrastructure, system administration, and working in an Agile environment with a focus on collaboration and growth opportunities.
Join the Benefits Technology team at WEX as a Software Engineer to design solutions for employer benefits challenges and build high-quality software in the latest technologies. Collaborate with Product Managers and customers to create innovative solutions.
Looking for a QA Automation Lead Engineer with 7+ years of experience to assess software quality through manual and automated testing. Responsibilities include managing the QA team and improving the quality of off-shore QA deliverables.
As a Principal Engineer, Full-Stack UI at Netskope, you will collaborate with backend service teams to develop the user interface for Netskope products. Responsibilities include working on frontend and backend development, developing reusable UI components, ensuring seamless performance across browsers, staying up-to-date with latest technologies, and contributing to the Netskope REST API Gateway.
Sr Software Engineer responsible for writing clean code, developing and maintaining software, troubleshooting and optimizing core products, contributing to all development phases, and supporting production processing. Strong emphasis on full-stack web development, database design, web frameworks, and ETL workflows.
Responsible for developing business intelligence solutions, analyzing data to provide insights and support decision-making. Collaborate with various teams to design and implement data warehouses, ETL processes, and data analytics solutions. Utilize SQL and Python for data manipulation and analysis. Ensure data quality and integrity for reliable reporting and decision support.
Provide technical support for data platform, ML Ops support, incident management, performance monitoring, automation, and collaboration with cross-functional teams. Bachelor's or Master's degree in computer science or related field required. Strong understanding of data management principles and experience with cloud platforms and scripting languages.
Quality Assurance Engineer with 5-8 years of experience in Python and Django-based web applications. Responsible for developing test plans, automation scripts, regression testing, and performance testing. Strong collaboration and documentation skills. Familiarity with healthcare domain is preferred.
Complete software testing and activities in conjunction with user stories within the Agile SDLC process. Create automation framework for mobile apps (iOS and Android) and develop robust test automation framework. Convert manual test cases into automation scripts and provide feedback on Agile SDLC process improvements.
As a Sr Data Engineer at S&P Global, you will architect, build, and maintain data infrastructure to support advanced analytics and machine learning. Collaborate with stakeholders, design data pipelines, ensure compliance, optimize algorithms, and deploy solutions in production. Required skills include Python, R, Java, C#, SQL, NoSQL, Pyspark, and experience with big data technologies like Hadoop, Spark, Kafka, and Airflow.
Develop, construct, test, and maintain data architectures including databases and large-scale processing systems. Collaborate with cross-functional teams, apply best practices in data management, and identify process improvements. Required expertise in SQL Server/PostgreSQL, Python, Airflow, AWS, and experience in Windows and Linux environments. Must have 3-5 years of extensive database experience, proficiency in SQL techniques, and experience in Agile development environments.
Sr. Software Test Engineer responsible for developing, debugging, and maintaining automated test procedures for cardiac rhythm management remote care applications. Collaborate with clinical teams to create test designs specific to software products. Conduct formal reviews of test designs and test scripts to comply with Quality Management Systems.
The ML Engineer will be responsible for conceptualizing, designing, and implementing ML models for dynamic pricing strategies and personalized product recommendations. They will work on data pipelines, develop and deploy machine learning models, and collaborate with cross-functional teams to align solutions with strategic objectives.
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