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Responsibilities: Designing, building, and maintaining efficient, reusable, and reliable architecture and code. Ensure the best possible performance and quality of high-scale web applications and services. Participate in architecture and system design discussions. Independently perform hands-on development and unit testing of the applications. Collaborate with the development team and build individual components into complex enterprise web systems. Work in a team environment with product, frontend design, production operation, QE/QA, and cross-functional teams to deliver a project throughout the whole software development cycle. Responsible for identifying and resolving any performance issues. Keep up to date with new technology developments and implementations. Participate in code reviews to ensure standards and best practices are met. Job Requirements

Qualifications:

Bachelor's degree in computer science, Software Engineering, MIS, or an equivalent combination of education and experience. Experience implementing and supporting data lakes, data warehouses, and data applications on

AWS or Microsoft Azure for large enterprises (Fabric is plus) Programming experience with

Python, Spark and SQL. Experience with Microsoft Azure services, specifically Data Factory, ADLS Gen2, Synapse Analytics, and Synapse Database, KQL. Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS or Azure. Solid experience implementing solutions on AWS or

Azure-based data lakes (preferred). Knowledge of ETL/ELT processes. Experience with end-to-end data solutions (ingest, storage, integration, processing, access) on AWS or Azure

(preferred). Architect and implement CI/CD strategies for EDP. Implement high-velocity streaming solutions. Migrate data from traditional relational database systems, onprem to Azure technologies (preferably in Onelake using Fabric technologies -

(preferred ). Develop data-based APIs Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-cases. Any Cloud Certification preferred (Azure / AWS preferred) Knowledge of Microsoft Fabric technology focusing on cost and security considerations. Requirements:

5+ years of experience as a Data Engineer/Datalakes . Experience developing business applications using NoSQL/SQL databases. Experience working with Object stores and Structured/semi-structured/unstructured data is a must. Experience with Microsoft Azure services - Data Factory, ADLS Gen2, Synapse Analytics, and Synapse Database. Develop CI/CD pipeline using Terraform and github Microsoft Fabric is plus.