Data Engineer – Data Pipelines & Warehousing

About Us:

With over 18 years of experience in data analytics, we have built extensive data pipelines and developed advanced analytical solutions. However, we recognize that data must be well-organized, accessible, and actionable to drive business decisions effectively. Our goal is to empower retail and logistics teams with reliable data infrastructure that supports meaningful insights and operational efficiency.

Role Overview:

We are looking for a proactive Data Engineer to design, implement, and maintain efficient data pipelines and data warehouse solutions. This role is ideal for someone with a solid technical foundation in data engineering who is eager to develop scalable systems that support business intelligence and analytics initiatives.

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Key Responsibilities:

• Build, optimize, and maintain ETL/ELT data pipelines for structured and unstructured data.
• Design and manage data warehouse solutions to support reporting and analytics.
• Ensure data accuracy, consistency, and reliability across all systems.
• Automate data workflows and processes to improve efficiency.
• Collaborate with data scientists, analysts, and business teams to deliver data solutions that meet business needs.
• Monitor and troubleshoot data pipelines to maintain system performance.
• Document data processes, workflows, and system architecture.

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Requirements:

• 2+ years of experience as a Data Engineer or in a similar role.
• Solid experience with SQL and programming languages such as Python.
• Hands-on experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, or similar).
• Familiarity with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
• Understanding of ETL/ELT concepts and best practices.
• Basic knowledge of workflow orchestration tools (e.g., Airflow, dbt) is a plus.
• Strong problem-solving skills and attention to detail.

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Preferred Qualifications:

• Experience with version control tools (e.g., Git) and CI/CD practices for data workflows.
• Familiarity with data modeling and database design.
• Understanding of data security and governance principles.

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What We Offer:

• The opportunity to work on impactful projects that shape data-driven decisions.
• A collaborative, supportive, and innovative work environment.
• Opportunities for professional development and skill growth.
• Flexible work arrangements and a competitive compensation package.

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How to Apply:

Please submit your resume and a brief cover letter highlighting your experience in building and maintaining data pipelines and warehouses. Tell us how your skills can help us create data systems that drive smarter business decisions.

Join us and play a key role in building the data backbone of our retail and logistics operations!

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