Senior Software Developer – H&L

Aspire Software

. Design, develop, and maintain scalable data pipelines and ETL/ELT processes .

Posted 9/17/2026full-timeBeirut • LebanonSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines, data architectures, and data models while ensuring data quality and governance. Proficient in collaborating with cross-functional teams to deliver actionable data solutions and support analytics and reporting needs.

Highest-signal resume keywords

Data EngineeringAdvanced SQLPython ProgrammingSnowflakeData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentETL/ELT ProcessesData ModelingData WarehousingDistributed Data SystemsReal-Time Data ProcessingEvent-Driven ArchitecturesAI DevelopmentData Quality AssuranceData Integrity

Soft Skills

Cross-Functional CollaborationCommunication SkillsAttention to Detail

Tools & Technologies

DBTAirflowCloud Data PlatformsData LakesData Infrastructure

Industry Keywords

FintechPaymentsTransaction-Heavy EnvironmentsCybersecurity PrinciplesCompliance Requirements

Tech Stack

Tools & technologies

AirflowCloudCyber SecurityETLPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines and ETL/ELT processes
Build and optimize data models, warehouses, and data lakes for business and product analytics
Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions
Ensure data quality, integrity, governance, and observability across all systems
Improve the performance, reliability, and scalability of the data platform
Support real-time and batch data processing requirements
Develop and maintain documentation, standards, and best practices for data engineering
Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems
Design, build, and maintain scalable data infrastructure supporting analytics, reporting, product development, and operational decision-making

Requirements

What you’ll need

5–8 years of experience in Data Engineering, Analytics Engineering, or a related field
Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline
Experience designing and maintaining modern data architectures and large-scale data pipelines
Advanced SQL skills
Strong proficiency in Python or another relevant programming language
Experience with cloud data platforms and modern data stack technologies
Strong understanding of data modeling, warehousing concepts, and distributed data systems
Proven ability to work cross-functionally and communicate technical concepts to nontechnical stakeholders
Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred
High attention to detail and a commitment to data quality and reliability
Strong knowledge of Snowflake, DBT, and Airflow
Strong knowledge and skills in AI development with top LLMs
Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments
Experience with real-time streaming technologies and event-driven architectures
Familiarity with data governance, compliance, and security requirements in regulated industries
Experience building customer-facing data products or analytics platforms
Interest in or exposure to cybersecurity principles as they relate to data infrastructure, including encryption at rest/in transit, access controls, and secure data pipelines

Benefits

Comp & perks

Competitive compensation
Benefits
Opportunities for career growth
Direct access to and support from the Managing Director and leadership team
Significant ownership and autonomy
High-growth environment with visible and measurable impact
Strong customer base and a platform with decades of domain depth to build on