The IT Analyst – Business Intelligence will design and implement BI solutions, focusing on data ingestion, lake design, and data modeling. Responsibilities include maintaining BI systems, providing support, and improving data processes for accuracy and effectiveness within the Azure environment.
YOUR MISSION
PUMA’s BI Team is in the process of moving “Puma Data Warehouse” to Azure Cloud, so we are implementing Microsoft’s best practices (Enterprise-Scale for Analytics and AI deployed in “Data Landing Zone). From building Data Pipelines to using the most modern technologies over designing Data/Delta Lakes, you will mainly have 2 focuses:
Design and Implement BI Solutions:
- Design and Implementation of BI Solutions end-to-end, from Data Ingestion, Data Lake Design and ELT Design to Data Modeling in Star Schema.
- Building of prototypes for PUMA Solution Architects in technological areas of Apache Spark, REST API Consumption and Development, Synapse Pipelines, Python and Git Hub DevOps.
- Deep understanding of all technical components of the BI Landscape
BI Data Governance:
- Maintains and supports existing BI software and systems - should immediately communicate issues with business and be able to implement immediate fix
- Handle daily business operations such as monitoring of daily data loads, report subscriptions, reloading of sales, etc.
- Should provide first and second level support in all Bl software and systems
- Implement BI software and systems, including integration with databases and data warehouses. Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value
- Performs end to end data analysis to ensure data consistency in all of our Bl data pipeline
YOUR TALENT
- University degree in Computer Sciences or a similar field of studies
- At least 5 years of experience in Azure environment. Ideally accomplished MS courses DP-203, AZ-104 and AZ 304
- Strong understanding of the following Azure BI Services: Azure Synapse Analytics (SQL Pools, Synapse Pipelines; Apache Spark for Synapse, Synapse Studio), Azure Functions, Azure App Service Plan
- At least 1 - 3 years of experience in creating DevOps workflows in Git Hub
- 3 years of previous coding in Python; Pyspark; Spark SQL and T SQL
- Very high motivation in helping/guiding teammates to succeed in projects
- Knowledgeable in design, development and implementation of Data Warehousing Solutions Knowledgeable in definition and development of interfaces to and from the Data Warehouse Knowledge on proper ticket handling and good priority setting
- Must be resourceful, flexible and possesses excellent communication skills
- Capable of collaborating with multi-cultural environment
- Well-driven, motivated, team-oriented, can easily adapt to a very complex environment.
- Willingness to work on shifting schedule.
- Fluent in business in English
SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As Senior Engineering Manager, you'll lead search infrastructure teams, ensure robust execution, foster a culture of excellence, and drive the search platform's innovative capabilities.
Top Skills:
AWSLucene
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Data Engineer, you'll build scalable data products, ingest data into data lakes, improve data product efficiency, and architect self-serve capabilities.
Top Skills:
AirflowAmazon Web ServicesDatabricksEmrJavaKinesisPythonRdsS3ScalaSparkSQLSqs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The QA ESG role involves managing testing projects utilizing Agile and waterfall methodologies, performing impact analysis, creating test plans, and ensuring the successful execution of ESG projects. Strong decision-making, critical thinking, and stakeholder management skills are essential in prioritizing project delivery amidst conflicting demands.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
