Top Python Jobs in Hyderabad, TG
Experian is seeking a Senior Data Engineer to join their agile team in building outstanding solutions and delivering value to customers. Responsibilities include developing quality solutions, collaborating with team members, providing technical support, and maintaining codebases. The ideal candidate will have experience in Scala development, utilizing Spark framework, AWS technologies, and staying up-to-date with industry best practices.
Lead the planning, design, and development of key initiatives within the Marketplace Insurance domain at Experian Consumer Services. Responsible for guiding technical solutions, building high-quality software, and leading a high performing engineering team.
Implement and manage internal endpoints and VPC Firewalls, configure Security Groups in AWS, manage IAM within the AWS cloud, automate security configurations, manage network traffic flow, assess vulnerabilities, collaborate with teams, lead projects, ensure system security, and enable system monitoring and logging.
Seeking an Expert Network Operations Engineer to provide subject matter expertise in support of the Experian Global Network. Responsibilities include managing network and security systems, using Python for automation, providing direct support for the global network, and staying ahead of emerging technologies.
The Attack Surface Management engineer is responsible for ensuring comprehensive visibility of Experian’s attack surface and vulnerabilities, monitoring and improving visibility, performing verification/validation testing for vulnerabilities, generating comprehensive reports, engaging with business stakeholders, developing vulnerability KPIs, executing daily operations, assisting in risk identification and vulnerability remediation strategies, and aggregating vulnerability data.
Senior Software Engineer role at Experian focused on building backend components of MLOps platform and infrastructure on AWS and deploying analytical sandbox environments on Azure. Responsibilities include developing features, creating automated pipelines, collaborating with cross-functional teams, and participating in on-call rotation for production incidents.
Lead development teams to deliver high-value complex projects, own technical direction, ensure technology solutions meet business requirements, manage project schedules and communication, anticipate change management requirements, and ensure effective solution adoption.
Senior Tableau Developer with 8+ years of experience in ETL implementation, RDBMS design, and Business Intelligence solutions. Proficient in Tableau, MS SQL Server, SSIS, AWS, Redshift, Snowflake, NoSQL, Python, and R. Experienced in performance tuning and troubleshooting ETL processes.
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Proficiency in both generative AI/ML concepts and traditional machine learning techniques. Familiarity with Azure Machine Learning services, model versioning, A/B testing, and monitoring of ML models in production.
LivePerson is seeking a Site Reliability Engineer - II to ensure high uptime and reliability of products, manage Linux servers in a multi-cloud environment, handle high availability Kubernetes resources, deploy upgrades and patches, monitor systems, manage databases, build CI/CD pipelines, and integrate security best practices.
Design, develop, and maintain sophisticated software/data platforms as a Senior Data Engineer at Oportun. Contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver scalable solutions. Responsible for achieving the engineering group's charter and advancing impact in the market.
Passionate Data Architect with 5+ years of experience leading data solutions on Azure. Expertise in Spark, SQL, Python, Scala, data modeling, and cloud engineering. Responsible for architecting and implementing modern data platforms on public cloud for analytics and AI use cases.
Design innovative solutions for consumer-facing iOS mobile applications, provide technical leadership in design and development, work with stakeholders to define technical roadmap, and stay updated on cutting-edge technologies.
Responsible for building and implementing ETL/ELT data pipelines, solving data challenges at scale, and continuously improving data processing turnaround and usability. Must have strong experience with Python, SQL, data warehouses, and data integration.
Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment. Responsibilities include implementing ML infrastructure, providing technical leadership, mentoring a team of engineers, collaborating with data scientists, and establishing best practices for model deployment.
The Staff Software Engineer role at Oportun offers a unique opportunity to combine technical expertise with strategic thinking, guide the team in making architectural decisions, mentor senior engineers, and contribute to the evolution of the technology stack. Responsibilities include leading the delivery of complex software applications, creating frameworks to lessen other engineers' workload, driving technical decision-making, and taking ownership of critical projects and initiatives.
Lead the Source team to build, evaluate, deploy, and iterate on large-scale data and pipelines. Set the technical vision for the team, grow and develop a team of engineers, and ensure extraordinary output. Work with data and tools.
Seeking a talented Senior Generative AI Engineer with experience in developing and training Generative AI models. Responsibilities include implementing advanced machine-learning algorithms and models to enhance the platform's capabilities. Must have proficiency in Python and hands-on experience with machine-learning models.
As a Software Engineer on the Data Engineering team at H1, you will be responsible for analyzing vast amounts of data, writing production-grade pipelines using big data technologies, and managing projects to deliver high-quality healthcare data applications in an AWS cloud environment.
Design and execute manual and automated test cases for web applications, APIs, and mobile apps. Develop and maintain automation tests for mobile, API, and web applications. Collaborate with development and product teams to ensure quality practices. Participate in Agile/Scrum processes.
Seeking a skilled Linux Systems Engineer with strong experience in managing Linux-based systems, networking, security, and server administration. Responsibilities include installing, configuring, and maintaining Linux systems, managing virtualized environments, implementing system security policies, troubleshooting system and network issues, and performing routine audits. Desired qualifications include a Bachelor's degree in Computer Science or related field, experience as a Linux Administrator, proficiency in Linux command line and scripting, familiarity with networking concepts and security practices, and strong problem-solving and communication skills.
Design, analyze, write code, modify, and debug CSG product applications. Perform release testing, interface with end-users, and complete technical documentation. Assist with on-site client issues and complete complex software development assignments.
Design, implement, and articulate testing strategies, test automation, and test engineering technologies. Collaborate with Product and Development teams to create test cases and automation scripts. Contribute to product level test strategies and provide deep defect root cause analysis. Requires at least 3 years of programming experience or a Master's degree in Computer Science, Engineering, or related field.
As a Senior Data Engineer at Oportun, you will design, develop, and maintain sophisticated software and data platforms. You will contribute to architectural decisions, mentor junior engineers, and collaborate with cross-functional teams to deliver high-quality solutions.
Develop and maintain scalable data pipelines, collaborate with teams to improve data models, lead data team, perform data analysis, define data assets, design data-oriented solutions, implement governance policies, monitor data quality, and ensure optimal resource use.
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