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

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.

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.

Please refer to job description.