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Data Analytics Consultant
1 month ago
Job Function: Software & Cloud Services 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.
- 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:
- 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
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.
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