11+ Star schema Jobs in Delhi, NCR and Gurgaon | Star schema Job openings in Delhi, NCR and Gurgaon

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Key Responsibilities

• Design, develop, and maintain advanced database solutions, procedures, and modules for the ERP system using SQL Server (T-SQL, schema design, indexing, query optimization)
• Develop, enhance, and maintain backend features and services using C# (.NET Core) with a focus on robust data access and business logic
• Analyze and optimize database performance, scalability, and security across a high-volume, mission-critical environment
• Collaborate with cross-functional teams, including QA, DevOps, Product Management, and Support, to deliver reliable and high-performing solutions
• Lead and participate in code and schema reviews, database architecture discussions, and technical planning sessions
• Contribute to the improvement of CI/CD pipelines and automated deployment processes for database and backend code
• Troubleshoot and resolve complex data and backend issues across the stack
• Ensure code and database quality, maintainability, and compliance with best practices
• Stay current with emerging technologies and recommend improvements to maintain a cutting-edge platform

Qualifications

• Curiosity, passion, teamwork, and initiative
• Extensive experience with SQL Server (T-SQL, query optimization, performance tuning, schema design)
• Strong proficiency in C# and .NET Core for enterprise application development and integration with complex data models
• Experience with Azure cloud services (e.g., Azure SQL, App Services, Storage)
• Ability to leverage agentic AI as a development support tool, with a critical thinking approach
• Solid understanding of agile methodologies, DevOps, and CI/CD practices
• Ability to work independently and collaboratively in a fast-paced, distributed team environment
• Excellent problem-solving, analytical, and communication skills
• Master's degree in Computer Science or equivalent; 5+ years of relevant work experience
• Experience with ERP systems or other complex business applications is a strong plus

About Us

We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.

The problem we are solving

In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers. To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by providing 24x7 real-time responses to customer inquiries with minimal human interaction

Roles and Responsibilities :

• Speech Recognition model development across multiple languages.
• Solve critical real-world scenarios - Noisy channel ASR performance, Multi speaker detection, etc.
• Implement and deliver PoC's /UATs products on the Rezo platform.
• Responsible for product performance, robustness and reliability.

Requirements:

• 2+ years Experience with Bachelors's/Master degree with a focus on CS, Machine Learning, and Signal Processing.
• Strong knowledge of various ML concepts/algorithms and hands-on experience in relevant projects.
• Experience in machine learning platforms such as TensorFlow, and Pytorch and solid programming development skills (Python, C, C++ etc).
• Ability to learn new tools, languages and frameworks quickly.
• Familiarity with databases, data transformation techniques, and ability to work with unstructured data like OCR/ speech/text data.
• Previous experience with working in Conversational AI is a plus.
• Git portfolios will be helpful.

Life at Rezo.AI

• We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our regular town hall meetings.
• A highly inclusive work culture that promotes a relaxed, creative, and productive environment.
• Practice autonomy, open communication, and growth opportunities, while maintaining a perfect work-life balance.
• Go on company-sponsored offsites, and blow off steam with your work buddies.

Perks & Benefits

Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentor-ship

Get the best in class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)

Why Us?

We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer service problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.

Explore more here

http://www.rezo.ai/">www.rezo.ai

Online tutoring platform that focuses on connecting students with tutors and has a focus on live learning courses for Science, Technology, Engineering, the Arts and Mathematics (STEAM) subjects. It is a global online school for 21st century skills, teaching Coding and other extra-curriculars to kids age 5-18 via LIVE, interactive, gamified online sessions that work 10x better than status quo.

• 2+ years of experience on NodeJS & React JS
• Practical experience in building APIs
• Experience with RabbitMQ or similar queuing system
• Experience with Redis/ElasticSearch is a plus
• Familiarity with CI/CD pipeline tools like Jenkins
• Practical experience with Git
• A knack for benchmarking and optimization

• Researching on topics that are of interest to the target audience
• Writing compelling content for email campaigns, landing pages and communication with customers
• Proofreading, editing and improving content created by others and ensure brand consistency
• Working alongside team members to come up with concepts and ideas to increase revenue
• Ensuring correct grammar and spelling throughout content and website

Desired Candidate Profile