58 Job openings found

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: AWS Databricks Location: Sholinganallur - Chennai  Work Mode: Onsite/Full-time Year of Experience: 5 - 10 Years No of Positions: 1 Notice Period: Immediate or 10 daysBudget: 8-12 LPA Must Have Skills: SQL, PySpark, Databricks, AWS, Python   Good To Have Skills: PySpark, AWS CloudWatch, AWS S3, Streaming External Description: This is a technical role. No shift timings Job Description:  1) Experience in AWS Databricks Data pipelines Development - DLT, Streaming & ...

Requirement : Azure Databricks   Location : Bangalore (Onsite)   Experience : 5+yrs       Databricks, Azure, Python CPG, creating CI/CD pipelines in data bricks using features in Databricks. Proficiency in a structured programming language is a must such as Python. Design, implement, and maintain scalable data processing pipelines using Azure Databricks with PySpark or Scala. Perform ETL/ELT operations, data cleaning, ...

Role: Lead the design, development, and optimization of data pipelines and data platform components for an e-commerce business. Work across ingestion, transformation, modeling, governance, and performance to support large-scale Data & AI use cases. Key Responsibilities Build and maintain scalable batch and streaming data pipelines from transactional systems, clickstream, and third-party sources. Implement ...

Dear Candidate, Greetings from MM Management!MM Management is into Global Recruitment Service Provider. Your profile is shortlisted for the initial screening of the Solution Cloud Data Architect position with our client. Please find the description below. About company: This is the leading technology solution and service Company  Specializing in comprehensive IP- led service in ...

Experience: 12 Years– 15 yearsLocation: Bangalore /HybridNotice Period: Immediate Job Description:   Responsibilities Develop and deliver detailed technology solutions through consulting project activities. Evaluate and recommend emerging cloud data technologies and tools to drive innovation and competitive advantage, with a focus on Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Lead ...

Senior Data Engineer We are looking for a talented and experienced Senior Data Engineer to join our growing team and play a key role in building and maintaining our data infrastructure. Responsibilities: Design, develop, and deploy high-performance, scalable data pipelines using Azure Datalake, Databricks, Data Factory, and DBT (minimum 3 years of experience required). Own the end-to-end data engineering life cycle, from ...

Location: Ahmedabad Role: Build, optimize, and maintain data pipelines and data platform components to support analytics and AI use cases for an e-commerce business. Key Responsibilities Develop and maintain batch & streaming data pipelines from transactional, clickstream, and third-party sources. Work on data lake / lakehouse / warehouse environments across cloud platforms (e.g., ...

Role: Azure Data Engineer Work Mode: Onsite/Full-time Location:  Sholinganallur - Chennai   Year of Experience: 5 - 10 Years No of Positions: 1 Notice Period: Immediate  Budget: 8 - 12 LPA Good To Have Skills: Good Communication Must Have Skills: Databricks (Strong), Azure Data Engineering, PySpark, Python, SQL   External Description:  Azure Data Engineering + Databricks (Strong) + Python + SQL  

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