Data Engineer

Responsibilities

• Design, develop, test, deploy, maintain and improve current data models for different countries.
• Support all the data model development, best practices, testing and QAT processes.
• Design and create predictive models, analytic models, scoring models among any other model required to support the business.
• Provide and present insights of data from existing data sets and/or from new analytics modelling with value to the business.
• Collaborate with data team members to automate and optimize data services.
• Develop visual reports, dashboards and KPI scorecards using Power BI desktop.

Required Skills

• Strong Python engineering skills, programming skills, Restful API’s.
• Proficient in DAX language, Power BI, Tableau.
• Ability to create clean, easy to maintain, modify and support code.
• Understanding the pre-processing analytical method.
• Strong expertise in Unix shell scripting.
• Expertise with ETL tools, specifically DataStage.
• Expertise in creating and automated unit test cases.
• Proficient in Python best practices, logging, and strong debugging skills.
• Data querying and storage including SQL, Parquet, XML, JSON.
• Understanding of Python environments, package management.
• Familiar with git source control, CI/CD, agile development practices.
• Able to work independently and ask for guidance when needed.
• Strong communication skills and delivery focused.
• Must be a self-starter and self-motivated.
• Strong SQL knowledge, able to read and understand SQL.

Required Experience

• 8+ years of overall experience in data warehousing and data lakes.
• Must have minimum 2 years of experience on GCP.
• Experience with designs and implementation of ETL (Extract, transform, load) components to load data from disparate source systems using SQL Server and Microsoft BI tools.
• Experience and strong knowledge in writing complex SQL statements, VBA scripts, DAX.
• Experience in distributed computing frameworks such as Spark.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.