Data Analytics Consultant

Data Engineer requirements:
Design, Deploy, and maintain solutions on MS Azure using different Cloud & Big Data Technologies.
Handle 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 guides, 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 relevant 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 supervise them.
Analyzing data and communicate data through reports that aid decision-making
Create relationships between data and develop tabular and other dynamic 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.
Superb communication, presentation, and interpersonal skills.
Ability to work independently and as part of a team
Passion for data-driven decision-making.

SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and handle everything in the cloud. By helping clients to migrate and modernize their workloads and applications and in parallel, to navigate and optimize the resulting software and cloud changes SoftwareOne unlocks the value of technology. The company's 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 60 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON.

Visit us athttps://www.softwareone.com/en