Job
Description
Essential Duties and Responsibilities Develop and maintain data pipelines using Azure native services (e.g., ADLS Gen2 , Azure Data Factory , Synapse , Spark , Python , Databricks ) and AWS cloud services (e.g., Databurst ). Design and build datasets required for Business Analytics in Power BI and Azure Data Warehouse . Ensure adherence to software development principles , coding standards, and best practices. Maintain and enhance existing applications, providing operational support as needed. Review and analyze user requirements , and write system specifications to meet business needs. Ensure quality design and delivery in line with corporate standards and governance. Participate in daily stand-ups , code reviews, design sessions, and architectural discussions. Perform other duties as assigned. What We're Looking For Required Qualifications and Skills Proven experience in solution delivery for Data Analytics and generating actionable insights for multiple business units. Hands-on experience in developing data solutions using Microsoft Azure and/or AWS services , with a strong emphasis on data integration and transformation. Strong SQL skills with extensive experience writing queries and tuning query performance . Experience in developing software architectures and building key software components. Proficiency in one or more programming languages: Python, Java, C#, Scala , and relevant open-source frameworks. In-depth understanding of Azure data services: Azure SQL Database , Data Lake , Databricks , Data Factory , Synapse . Experience in data modeling on Azure DW or AWS , including knowledge of dimensional models , star schemas , and data vaults . Ability to quickly learn new technologies and apply them in a fast-paced environment. Strong sense of ownership , customer focus , and a can-do attitude . Excellent communication skillslistening, speaking, and writing in English. Bachelor's degree in Computer Science, Computer Engineering, or related fields (e.g., Statistics, Mathematics, Physics, or Engineering).
