Senior Data Engineer

🕒 August 17

🇯🇴 Jordan – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aspire, Jordan

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

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

• Design, implement, and manage complex DAGs and SubDAGs in Apache Airflow • Use Operators, macros, connections, variables, and XCom for task execution • Conduct unit testing for Airflow workflows • Perform file operations and data movement between HDFS and S3 • Manage Hive external tables, update table DDL, and handle partition operations • Execute Hadoop commands and navigate HDFS • Work with Hive on Tez for optimized query execution • Use AWS command line tools for listing and copying S3 files • Implement and manage secrets using Ansible Vault and AWS Secrets Manager • Develop and optimize data processing tasks using PySpark • Use Livy for Spark job execution • Import and export data between Microsoft SQL Server and HDFS using Sqoop • Apply dimensional modeling principles, define facts and dimensions, and manage surrogate keys • Implement Git branching strategies • Raise and review Merge Requests in GitLab • Use SSIS for migrating data workflows • Model data in Snowflake, including external and internal tables • Use views and materialized views in Snowflake • Collaborate with cross-functional teams to deliver high-quality data solutions • Focus on data quality, performance optimization, security, and compliance

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field • Proficient in Python 2.7 and Python 3.6+ • Experience in unit testing and test-driven development • Familiarity with secrets management tools and techniques • Knowledge of data modeling principles and practices • Strong understanding of Git version control and GitLab workflows • Excellent problem-solving and communication skills • Awareness or knowledge of IT security best practices defined by ISO / SOC or similar standards • Experience with SSIS for data migration workflows • Experience with Snowflake, including external/internal tables, views, and materialized views • Familiarity with Hive on Tez for optimized query execution • Experience with AWS command line tools and S3 operations • Knowledge of Livy for efficient Spark job execution

🏖️ Benefits

• Competitive long-term total compensation package • Performance-based bonus • Remote-first organization with flexibility • Technical and non-technical training programs • Global exposure through international teams and clients • Virtual and in-person international technology conferences • Nursery reimbursement benefit • Aspire Wellness Program