Azure Data Engineer

Role : Azure Data Engineer Experience : 8 to 13 Years Relevant Experience : 8 Years Location : Bangalore, RMZ Bellandur - Hybrid 3 days in a Week WFO Shift Timings : 1pm to 10 pm Mode of Interview : 1st round Virtual, 2nd round-F2F Job Description : Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Key responsibilities : - Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric). - Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage). - Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions. - Optimize data pipelines in the Azure environment for performance, scalability, and reliability. - Ensure data quality and integrity through data validation techniques and frameworks. - Develop and maintain documentation for data processes, configurations, and best practices. - Monitor and troubleshoot data pipeline issues to ensure timely resolution. - Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge. - Manage the CI/CD process for deploying and maintaining data solutions. Required Qualifications : - Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals. - At least 2 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes. - Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2. - Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL). - Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing). - Experience with big data technologies (e.g., Spark). - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration skills. Preferred Qualifications : - Learning agility - Technical Leadership - Consulting and managing business needs - Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted. - Experience building spark applications utilizing PySpark. - Experience with file formats such as Parquet, Delta, Avro. - Experience efficiently querying API endpoints as a data source. - Understanding of the Azure environment and related services such as subscriptions, resource groups, etc. - Understanding of Git workflows in software development. - Using Azure DevOps pipeline and repositories to deploy and maintain solutions. - Understanding of Ansible and how to use it in Azure DevOps pipelines