Job
Description
About The Role
Project Role :Full Stack Engineer
Project Role Description :Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills :Python on Azure
Good to have skills :NA
Minimum 5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:Responsible for building and maintaining data pipelines using Azure Data Factory, Synapse, and Databricks. Ensures reliable data ingestion, transformation, and storage across Azure platforms. Collaborates with ML Engineers and Solution Architects to deploy and monitor machine learning models, automate retraining workflows, and maintain version control of models and datasets. Performs data exploration, quality checks, and preprocessing to support scalable and production-ready ML solutions.
Roles & Responsibilities:
Build and maintain data pipelines using Azure Data Factory, Synapse, or Databricks.Ensure data quality, transformation, and ingestion from various sources.Optimize data storage (e.g., Azure Data Lake, Blob Storage).Collaborate with ML Engineers and Solution Architects to deploy models into production environments.Design automated retraining and monitoring pipelines to track model drift and accuracy.Ingest, explore, and preprocess structured and unstructured data using:Azure Data Lake StorageAzure Synapse AnalyticsAzure Data Factory for data pipelinesPerform exploratory data analysis in notebooks (e.g., Azure Machine Learning Notebooks or Azure Databricks).Assess data quality, detect anomalies, and recommend data cleansing strategies.
Professional & Technical Skills:Must To Have
Skills:Proficiency in Python on Azure.Good To Have
Skills:Experience with cloud-based application development.Strong understanding of web development frameworks and libraries.Familiarity with database management systems and data modeling.Experience with Azure Data Factory, Synapse Analytics, and Databricks for data pipeline developmentProficient in data ingestion, transformation, and storage using Azure Data Lake and Blob StorageSkilled in data exploration, preprocessing, and quality assessment (structured & unstructured data)Familiar with deploying and monitoring machine learning models in production environmentsAbility to build automated model retraining and drift monitoring pipelinesStrong in SQL, Python, and/or PySpark for data analysis and pipeline scriptingKnowledge of version control tools and practices (e.g., Git)Effective collaboration with ML Engineers and Solution ArchitectsSolid understanding of scalable, cloud-based data architectures.
Educational Qualification:15 years of full-time educationShift Timing:Candidate should be flexible to work in shifts and coming to office.Location:Any location in India. Qualification 15 years full time education
