Data Engineer

SUMMARY:
Design, develop, and maintain robust ETL/ELT data pipelines as part of our enterprise data platform

POSITION INFO:

Job Purpose

Design, develop, and maintain robust ETL/ELT data pipelines as part of our enterprise data platform. This role supports the organization’s data-driven decision-making by enabling scalable, high-quality data solutions that power analytics, reporting, and business intelligence.

Key Responsibilities

• Design, implement, and maintain reliable ETL/ELT pipelines to support data ingestion, transformation, and delivery.

• Develop and enhance scalable data models and data warehouse structures to support reporting and advanced analytics.

• Collaborate with cross-functional stakeholders to translate business requirements into effective data solutions.

• Implement and maintain data quality, validation, and monitoring processes to ensure data integrity and reliability.

• Uphold data governance standards, security protocols, and compliance requirements.

• Mentor and support junior team members through training, peer reviews, and knowledge sharing.

• Continuously improve existing data infrastructure and tools to optimize performance and scalability.

• Develop interactive and insightful dashboards and reports using Pyramid Analytics and/or Power BI.

Qualifications & Experience

• A relevant 3-year degree or diploma in IT, Computer Science, Data Engineering, or related field.

• Minimum of 5 years' experience in designing and building data pipelines.

• Advanced SQL skills and experience working with relational databases such as SQL Server, MySQL, or PostgreSQL.

• Proven experience with business intelligence tools, particularly Power BI or Pyramid Analytics.

• Advantageous:

  • Experience with SSRS, SSAS, and SSIS.

  • Familiarity with dbt, Azure Data Factory, and cloud platforms (especially Azure).

• Experience with unit, integration, and regression testing of data solutions.

Skills & Competencies

• Strong analytical and problem-solving skills.

• Proficient in data collection, analysis, modeling, and visualization.

• Solid understanding of data architecture and best practices in modern data platforms.

• Excellent communication and presentation skills.

• Experience in data-driven projects across Retail, Finance, Customer, or HR domains is advantageous.