ETL Developer at Multiplicatalent

Here's what you'll be doing!

• You will build ETL pipelines to ingest the data from heterogeneous sources into our system. You should have excellent business and communication skills, and be able to work with business owners to understand their data requirements and help them make data-related decisions using your ETL knowledge and experience.

The job role might also require you to learn new tools and technologies fast, and you should have in-depth database knowledge as well as programming and scripting skills. You will help to build efficient and stable data pipelines which can be easily maintained in the future. You should have expertise in the design, creation, management, and business use of large datasets.

• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
• Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users
• Maintain and improve already existing processes
• Ensure that the data architecture is scalable and maintainable
• Work with the business in designing and delivering correct, high quality data
• Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
• Prepare documentation for further reference

Requirements

• SQL knowledge (query performance tuning, index maintenance, etc.) as well as an understanding of database structure
• Knowledge of data modeling principles
• Organizational skills: time management and planning
• Knowledge of various SQL/NoSQL data storage mechanisms including PostGres and Big Data technologies
• Knowledge of Python and/or R
• Proficiency with Azure cloud services: Including Databricks, Azure DB; Azure Data Factory
• High attention to detail
• Passionate about complex data structures and problem solving
• Ability to pick up new data tools and concepts quickly
• Previous FMCG Experience an advantage
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.