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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.
Top Skills:
AzureAzure Data Factory (Adf)Azure Key VaultAzure Private EndpointsAzure SynapseCdcCi/CdDatabricksDelta LakeManaged IdentityMicrosoft PurviewPostgresPower BIStructured StreamingUnity Catalog
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.
Top Skills:
SparkAzureAzure Data Factory (Adf)Azure Key VaultAzure SynapseChange Data Capture (Cdc)Ci/CdDatabricksDelta LakeLakehouseManaged IdentityMicrosoft PurviewPostgresPower BIPrivate EndpointsSpark Structured StreamingSQLUnity Catalog
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead application development and technical direction, mentor junior engineers, and integrate AI-assisted engineering (code generation, reviews, research). Design and implement scalable microservices using .NET/C#, TypeScript, SQL and Azure/Terraform. Ensure coding standards, security, quality, and participate in full lifecycle delivery, testing, deployment, support, and cross-functional collaboration.
Top Skills:
.NetAzureC#GitGithub ActionsGithub CopilotLangchainLanggraphMcp-Based DevelopmentMicroservicesMicrosoft 365 CopilotSQLTerraformTypescript
Company Description
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job DescriptionREQUIREMENTS:
- Total experience 11+ years.
- Hands on working experience in data science with a focus on predictive modeling and optimization.
- Strong working experience with Data Science on GCP, Generative AI fundamentals.
- Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
- Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP).
- Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques.
- Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering.
- Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation.
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Nagarro Chennai, Tamil Nadu, IND Office
AWFIS, 111, Rajiv Gandhi Road, Old Mahabalipuram Road, Kottiwakkam Village, OMR India, Chennai, India, 600041
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

