Data & Platform Engineering Full Time

Synopsis

The ideal candidate is an experienced data pipeline builder and data wrangler and utilizes the latest technology to implement and support platforms for analytical use-cases. The selected candidate will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. If you are excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives, this might be the right fit for you! You will also be responsible for monitoring analytical systems to ensure that the environments run smoothly.

Accountabilities

• Evaluate business needs and objectives
• Identify opportunities for data acquisition
• Analyze and organize raw data
• Create and maintain optimal data pipeline architecture,  Interpret trends and patterns / Build algorithms and prototypes
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and  ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Education & Experience

• 5-8 years of experience in IT Industry
• 3+ years of experience with Azure Data Engineering Stack (Data Factory, Databricks, Synapse, Event Hub, Cosmos DB, ADLS Gen2, Function app). Good understanding of other Azure services
• 3+ years of experience with Python / Pyspark
• Excellent knowledge of SQL and good understanding of Data Warehouse Architecture, Data Modelling and design concepts
• Experience in Power BI, SFTP, Messaging, APIs would be an advantage
• Excellent analytical and organization skills.
• Effective working in a team as well as working independently.
• Experience of working in Agile delivery
• Knowledge of software development best practices.
• Strong written and verbal communication skills.
• DP200/DP201 certification is added advantage.