
Senior Data Engineer
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Jordan.
• Design, develop, and maintain robust data products for the FinSys Data Platform team.
• Create and enhance data pipelines utilizing ETL tools to guarantee dependable data delivery.
• Provide support for essential business functions across Accounting, Finance, Payments, and Tax teams.
• Ensure enhanced data availability, quality, and reliability for various stakeholders.
• Oversee workflow orchestration and pipeline scheduling within large-scale data environments.
• Collaborate with cross-functional teams to convert business requirements into effective data solutions.
• Strong proficiency in Python; ideally at a Senior level with 5–7 years of experience.
• Over 5 years of experience in a Data Engineering or Data Warehousing role.
• More than 5 years of experience in building data pipelines using ETL tools (dbt is preferred).
• At least 3 years of hands-on experience with big data technologies such as Snowflake, Redshift, Hive, Kafka, Spark, or similar tools.
• Extensive experience with both NoSQL and SQL databases.
• Expertise in workflow management and pipeline tools like Airflow.
• Over 5 years of coding experience, preferably in Python.
• Master's degree (or a Bachelor's degree with relevant experience) in Math, Statistics, Computer Science, or a related technical field.
• Strong communication and stakeholder management skills.
• Proven ability to manage competing priorities and deliver work within agreed sprint timelines.
• Comfortable working in highly collaborative, cross-functional Agile teams.
• A self-starter attitude with strong problem-solving and critical-thinking abilities.
• This is a remote position.
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