• We are seeking a Data engineer with core values are pride in our work, respect for colleagues, partners, and our country, collaborative decision-making, and work-life balance—all while enjoying what we do. Your primary focus will be leveraging your technical skills to combine software, systems, and data, extracting meaningful insights from raw data. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and optimal performance.

Responsibilities:

• Understand and analyse client requirements and business needs.
• Identify, analyse, visualize, and understand supporting data to propose solid solutions.
• Design and develop data layers to power Big Data analytics.
• Architect data integration pipelines and ensure successful data extraction, transformation, and loading from various sources.
• Create and maintain technical documentation.
• Support existing solutions within GCP and Oracle.
• Analyze specifications and data, designing data warehouse and product layers.
• Develop, test, and ensure the quality of data pipelines and layers.
• Perform peer reviews and comply with the SDLC process and documentation standards.
• Participate actively in the product team and provide cross-training and mentorship.
• Provide timely status updates to the team.
• Log change requests and accurately log time.
• Participate in standby rotation.
• Be a team player: collaborate, socialize, and engage with your product team and the wider team at all times.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 4-6 years of data warehouse ETL experience.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Proficiency in SQL and experience with relational databases (e.g., Oracle, PostgreSQL, MySQL, SQL Server).
• Experience with dimensional modeling and data analysis.
• Preferred experience with data visualization tools and the retail industry.
• Understanding of version control (SVN/GIT) and proficiency in programming languages such as Python, Java, Korn shell scripting, and SQL.