Skill: Data Platforms & Architecture
Exp: 4 to 9 years
Location: Hyderabad
Shift: Night Shift
Responsibilities
· Execute delivery tasks that support solution architectures and modernization priorities.
· Implement application, data, or cloud components based on established technical designs.
· Collaborate with team members across App Innovation, Cloud Platform, and Data & AI to ensure integrated delivery.
· Follow delivery frameworks, coding standards, and quality checks established for the project.
· Participate in design walkthroughs and apply feedback to improve technical execution.
· Collaborate with architects, project managers, and client stakeholders to drive successful outcomes.
· Build and maintain data pipelines using SQL, Spark, and Python.
· Develop batch and basic streaming workloads on Azure Databricks or MS Fabric.
· Implement ingestion patterns from source systems into data lakes and lakehouses.
· Contribute to data modeling and transformation logic.
· Support junior team members by sharing knowledge and best practices.
· Support documentation, testing, and validation activities aligned to delivery needs.
· Provide status updates, surface risks, and collaborate with leads to maintain execution quality.
· Apply current Azure technologies and Microsoft frameworks to optimize solutions for maintainability, performance, and cost efficiency.
· Contribute to reusable assets and internal frameworks as assigned.
· Manage workload and commitments to meet utilization goals while maintaining architectural quality across engagements.
· Invests in internal thought leadership, culture of feedback, knowledge-sharing, and/or Intellectual Property development opportunities, including communities of practice and internal initiatives.
Requirements
· 2 or more years of relevant experience implementing technical solutions on Azure.
· 1–3 years of experience in data engineering or analytics engineering.
· Proficiency in SQL; working knowledge of Python or Spark.
· Exposure to Azure data services and cloud fundamentals.
· Technical foundation in one Azure domain (Application Innovation, Cloud Platform, or Data & AI)
· Demonstrated ability to execute assigned tasks within application, cloud, or data domains.
· Experience working within delivery teams and following established technical processes with attention to detail.
· Effective communicator able to work collaboratively across project teams.
· Exposure to hybrid or multi-cloud environments is a plus.
· Demonstrated ability to leverage AI and emerging technologies to improve productivity, enhance decision-making, streamline delivery processes, and drive measurable business value. Commitment to continuous learning and adoption of new digital capabilities is required.
· Proven success operating within large, matrixed consulting organizations and navigating the scale, complexity, governance, and pace of a Global System Integrator (GSI) environment.
· Ability to manage competing priorities, collaborate across cross-functional teams, and consistently deliver results in a fast-paced, performance-driven setting.
· Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
