767 Job openings found

Role: Snowflake Work Mode: Onsite  Location: Chennai  Year of Experience: 7 -10 Years No of Positions: 1 Notice Period: Immediate Budget: 8 - 12 LPA   Good To Have Skills: Communication Must Have Skills: Snowflake DBA, Asset Management, Snowpro certification   Job DescriptionThe candidate will be responsible for managing, monitoring & tuning Snowflake & Azure databases across Corporate Services team. This role will be part of the Corporate Architecture & Analytics team. Responsibilities:1. ...

Exp- 2-5yrs Location-Chennai (5days work from client office) NP- Immediate Budget- for 2-3yr : 4-6 LPA Fixed + RLE Benefits 3.5 -5yrs : 9-11 LPA + RLE Benefits   Technical Scrum Master – Job Description Role Summary The Technical Scrum Master is responsible for leading Agile ceremonies, removing impediments, coordinating with cross-functional teams, and ensuring the engineering team ...

Key Responsibilities   Design, develop, and maintain scalable backend services and APIs using Java and Spring Boot. Strong proficiency in Java (Java 8 or above) and Spring / Spring Boot framework. Experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.) Exposure to cloud platforms GCP & Azure and containerization (Docker, Kubernetes) is a plus. Hands-on ...

A Deputy Manager, Software Automation job description involves leading and executing automation strategies, overseeing test frameworks, and managing a team to ensure high-quality software delivery. Responsibilities include developing automation for UI and API testing, implementing CI/CD pipelines, and collaborating with cross-functional teams. The role requires a Bachelor's degree, strong technical skills ...

About the Role:We are seeking a skilled Report Writer with strong expertise in SQL Server, Power BI, and SSRS to design, develop, and maintain business reports and dashboards. The ideal candidate will possess excellent communication skills, a keen eye for detail, and the ability to translate business requirements into insightful ...

Key Responsibilities: 1. Architecture & Deployment Design and implement highly available and scalable Elasticsearch clusters. Conduct architecture reviews, capacity planning, and performance optimization. Ensure robust security configurations, including access controls and encryption. 2. Data Migration Develop and execute data migration strategies, including snapshot and restore mechanisms. Ensure seamless data movement across multiple clusters while maintaining data integrity. 3. Observability & Monitoring Set up log collection pipelines using Beats ...

Experience – 5 To 8 YearsSalary – 18 Lac To 20 LacNP – 0 To 30 DaysIndia – NoidaJob Description:We are seeking skilled and motivated Spark & Databricks Developers to join our dynamicteam for a long-term project. The ideal candidate will have strong hands-on experiencein Apache Spark, Databricks, and GitHub-based development workflows.Key Responsibilities: Design, develop, ...

Role Overview As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and maintaining the infrastructure and workflows that support our machine learning systems. You’ll work closely with data scientists, ML engineers, and DevOps teams to implement scalable MLOps solutions, mentor team members, and ensure smooth deployment and ...

Job Description We are looking for a Full-stack developer to develop full-stack web applications using JavaScript technologies.   Required Experience: 3-5 Years Job title: Senior Full Stack Developer Required Qualification: BE/BTech (IT/CS/Electronics), ME/MTech (IT/CS), or equivalent technical degree Job Location: Pune/Ahmedabad   Key Skills and Requirements: Strong analytical and problem-solving skills with the ability to architect scalable solutions Proven experience in full-stack JavaScript development ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA