Responsibilities
Build and maintain data infrastructure using Kleene (ETL), SQL, and Looker.
Develop data integrations with third-party tools, internal systems, and APIs.
Design data ingestion workflows for batch and real-time sources.
Create and manage scraping pipelines for external data (e.g., competitor pricing, blockchain, regulatory feeds).
Partner with teams across the company to define KPIs and translate business needs into data models.
Create and maintain dashboards and reports for key departments including Product, Compliance, Marketing, and Finance.
Monitor data quality, lineage, and validation across the data stack.
Support growth initiatives with analytics related to acquisition, retention, and monetization.
Define and enforce data governance and access protocols.
Qualifications
3+ years of experience in data analytics, engineering, or a related role.
Strong proficiency in SQL and experience working with large datasets.
Hands-on experience with modern ETL/ELT tools like Kleene (preferred), Airbyte, Fivetran, or dbt.
Proficient in working with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
Experience building data pipelines and automating ingestion using Python and orchestration tools like Airflow or Zapier.
Familiarity with data modeling best practices (e.g., star and snowflake schemas).
Experience with Looker and LookML is highly preferred.
Solid understanding of data governance and privacy standards.
تفاصيل الوظيفة
الموقع عمان - الأردن
القطاع
تكنولوجيا المعلومات والاتصالات
نوع الوظيفة دوام كامل
الدرجة العلمية بكالوريوس
الخبرات 3+
الجنسية
غير محدد
سجلي الدخول للتقدم