22 days ago
Hyderābād, IndiaMid Level / Senior
Responsibilities
- Execute delivery tasks supporting solution architectures and modernization priorities.
- Implement application, data, and cloud components based on established technical designs.
- Build and maintain data pipelines using SQL, Spark, and Python.
- Develop batch and basic streaming workloads on Azure Databricks or Microsoft Fabric.
- Implement ingestion patterns from source systems into data lakes and lakehouses.
- Contribute to data modeling and transformation logic.
- Collaborate with architects, project managers, client stakeholders, and cross-functional delivery teams.
- Participate in design walkthroughs and apply feedback to improve technical execution.
- Support documentation, testing, validation, status reporting, risk identification, and delivery quality.
- Support junior team members through knowledge sharing and best practices.
- Apply Azure technologies and Microsoft frameworks to improve solution maintainability, performance, and cost efficiency.
- Contribute to reusable assets, internal frameworks, thought leadership, communities of practice, and intellectual property initiatives.
- Manage workload and commitments while maintaining architectural quality and meeting utilization goals.
Requirements
- 4–9 years of overall professional experience.
- At least 2 years of experience implementing technical solutions on Azure.
- 1–3 years of experience in data engineering or analytics engineering.
- Proficiency in SQL and working knowledge of Python or Spark.
- Exposure to Azure data services and cloud fundamentals.
- Technical foundation in at least one Azure domain: Application Innovation, Cloud Platform, or Data & AI.
- Ability to execute assigned tasks within application, cloud, or data domains and follow established technical processes.
- Experience working collaboratively in delivery teams with strong attention to detail.
- Effective communication and ability to manage competing priorities across cross-functional teams.
- Exposure to hybrid or multi-cloud environments is preferred.
- Ability to use AI and emerging technologies to improve productivity, decision-making, delivery processes, and business value.
- Experience operating in large, matrixed consulting organizations or Global System Integrator environments is preferred.
- Commitment to continuous learning, digital capability adoption, and consistent delivery in a fast-paced setting.
Benefits
- Location: Hyderabad.
- Night-shift schedule.
- The employer promotes a diverse, inclusive, and authentic workplace and encourages candidates to apply even if they do not meet every requirement.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.