Senior Data Engineer, Spark

🔥 14 hours ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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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SSC HR Solutions

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Build and run large scale batch data pipelines, keeping jobs fast and affordable as data volumes grow. • Build and manage large scale data processing jobs with Apache Spark. • Perform performance tuning to maintain efficient and reliable pipeline execution. • Support data modelling for analytics. • Organise data in a lakehouse for downstream usability. • Handle automated scheduling, monitoring, and data quality checks. • Work with platform and product teams on end to end data flows.

🎯 Requirements

• Strong hands on Apache Spark including performance tuning, not Spark usage through a managed notebook only. • Data modelling for analytics and organising data in a lakehouse so it is usable downstream. • Automated scheduling, monitoring, and data quality checks. • Works with platform and product teams on end to end data flows. • Apache Iceberg or other open table formats. • Trino or similar query engines. • On premises or self managed cluster experience.