Senior Data Engineer

This is a fully remote position, open to applicants in Jordan.

📋 Description

• 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.

⛳️ Requirements

• 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.

🏝️ Benefits

• This is a remote position.