Senior Data Engineer

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🕒 5 days ago

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Aspire, Jordan

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

💳 Fintech

🔒 Cybersecurity

Technology • Fintech • Cybersecurity

Aspire is reimagining and redefining what being a technology partner in the region means. With a commitment to exceeding expectations and providing exceptional quality work, Aspire consists of a group of technology experts with diverse backgrounds and expertise. The company offers a wide range of digital consulting and technology services, including digital strategy, automation, and cybersecurity solutions, while also focusing on social responsibility initiatives. Aspire serves various sectors such as financial services, healthcare, media, e-commerce, and retail, positioning itself as a trusted digital partner across the MENA region and the US.

📋 Description

• Develop and optimize scalable data pipelines using Python and dbt to support efficient data transformation and integration. • Design and maintain database tables, Snowflake structures, and data models to support reporting and analytics needs. • Build robust ETL/ELT workflows for extracting, transforming, and loading data while maintaining data quality and consistency. • Improve pipeline reliability through monitoring, observability, and proactive issue resolution. • Create dashboards and provide updates that support actionable insights and business decision-making. • Partner cross-functionally to align on requirements, communicate progress, and ensure transparency across initiatives.

🎯 Requirements

• Strong ability to query, transform, validate, and optimize data using SQL for analytics, reporting, and pipeline workflows. • Experience building scalable data pipelines, automation scripts, and data processing workflows with Python. • Hands-on experience designing and maintaining cloud data warehouse structures, tables, and performant data models in Snowflake. • Experience developing modular data transformations, testing, and documentation using dbt within modern ELT workflows. • Familiarity with AWS cloud services supporting scalable data storage, processing, and pipeline orchestration. • Proven experience building reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources. • Ability to monitor pipeline health, troubleshoot workflow issues, and proactively improve reliability and data quality.

🏖️ Benefits

• Remote work options