
51 - 200 employees
Founded 2006
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
SSC HR Solutions is a full-service HR consultancy that provides comprehensive human resource solutions tailored to meet the specific talent growth needs of businesses. With operating locations across Egypt, United Arab Emirates, Saudi Arabia, and Bahrain, SSC HR Solutions specializes in employee management, from hiring to termination, ensuring that businesses thrive in a competitive landscape. The company prides itself on understanding client needs and delivering high-quality services that foster growth and partnership.
🕒 September 18
Where this job comes from
Posted on SSC HR Solutions's careers page, not through a job board
First seen by Remote Rocketship September 18
Still open on SSC HR Solutions's site. Checked Yesterday.

51 - 200 employees
Founded 2006
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
SSC HR Solutions is a full-service HR consultancy that provides comprehensive human resource solutions tailored to meet the specific talent growth needs of businesses. With operating locations across Egypt, United Arab Emirates, Saudi Arabia, and Bahrain, SSC HR Solutions specializes in employee management, from hiring to termination, ensuring that businesses thrive in a competitive landscape. The company prides itself on understanding client needs and delivering high-quality services that foster growth and partnership.
• Build and run real-time streaming pipelines • Keep latency low and jobs recoverable at high volume • Monitor pipeline health • Handle recovery when jobs fail
• Strong hands-on experience with Apache Flink, including DataStream API and Flink SQL • Experience with high-volume Kafka streaming and real-time data processing • Strong knowledge of event time processing, checkpointing, savepoints, and state management • Experience with data modelling for analytics and streaming into a lakehouse • Experience monitoring pipeline health and handling job recovery and failures • Apache Iceberg or other open table formats • Airflow • On-premises or self-managed cluster experience • Proficiency with Kafka, Java, Scala, Python, SQL, Docker, and Kubernetes
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🕒 May 24
L1 Data Engineer building scalable Azure Data Factory and Databricks pipelines. Processing analytics data with Python, PySpark, and SQL.