Why SoftwareOne? Hear firsthand from SoftwareOne APAC leaders as they unveil our exciting business and growth plan, spill the beans on our hiring initiatives, and reveal why joining SoftwareOne is a game-changer. Join us now and be part of our incredible journey. The role Data Engineer requirements: • Design, Deploy, and maintain solutions on MS Azure using different Cloud & Big Data Technologies. • Manage the full life cycle of a Data Lake / Big Data solutions from requirement gathering and analysis to platform selection, design of the architecture, and deployment. • Be responsible for implementing solutions that can scale on Cloud. • Collaborate with a team of business domain experts, data scientists, and application developers to develop BD solutions. • Explore and learn new technologies for creative business problem solving and mentor a team of Data Engineers. Power BI requirements: • Understand business requirements in BI context and design data models to transform raw data into meaningful insights. • Convert business requirements into technical specifications and decide timeline to accomplish. • Create dashboards and interactive visual reports using Power BI • Identify key performance indicators (KPIs) with clear objectives and consistently monitor them. • Analyzing data and present data through reports that aid decision-making • Create relationships between data and develop tabular and other multidimensional data models. • Chart creation and data documentation explaining algorithms, parameters, models, and relations. • Design, develop, test, and deploy Power BI scripts and perform detailed analytics. • Perform DAX queries and functions in Power BI • Analyze current ETL process, define and design new systems. • Redefine and make technical/strategic changes to enhance existing Business Intelligence systems. • Create customize charts and custom calculations as per requirements. • SQL querying for best results, use of filters and graphs for better understanding of data • Work with users and team members at all levels for performance improvement and suggestions What we need to see from you Requirements : • Strong Hands-on experience in implementing Data Lake with technologies like – Azure Data Factory (ADF), Azure Synapse, ADLS, Databricks, Azure Synapse Analytics, SQL Database, Power BI, Azure ML, Azure Databricks • Strong programming & debugging skills either in SQL, Python and Scala/Java. Experience in building REST services is good to have. • Experience in supporting Data Science teams in consuming the data in a secure and governed manner. • Experience deploying Machine Learning solutions into production commercial environments. • Good, understand, and Experience of using CI/CD with Git, Jenkins / Azure DevOps. Understanding of branching strategies, pull requests, and code reviews. • Experience in setting up cloud-computing infrastructure solutions (in Dev Environment). • Experience in using NoSQL Databases and Data Modelling in Hive Must have : • 5+ years of technical experience with at least 3 years on Azure. • Proficient in Power BI components, Azure Data Platform • Understanding of statistical modelling, machine learning, or data mining, text mining concepts and a track record of solving problems with these methods. • Experienced in big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark) is a plus. • Experience in programming languages such as Python, SQL, and optionally R for data manipulation, analysis, and modelling is a plus. • Bachelor’s degree in computer science, Information Technology, or related field preferred. • Excellent communication, presentation, and interpersonal skills. • Ability to work independently and as part of a team • Passion for data-driven decision-making. Job Function Software & Cloud Services Accommodations SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com. Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.