Senior Data Engineer, Spark

SSC HR Solutions

. Build and run large scale batch data pipelines.

Posted 9/24/2026full-timeRemote • EgyptSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing large scale Apache Spark data processing jobs, with a focus on performance tuning and data modelling for analytics. Proficient in automated scheduling, monitoring, and ensuring data quality for efficient data pipeline execution.

Highest-signal resume keywords

Apache Spark Performance TuningData Modelling for AnalyticsAutomated Scheduling and MonitoringApache Iceberg or Open Table FormatsTrino or Similar Query Engines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Apache SparkData ModellingPerformance TuningAutomated SchedulingData Quality Checks

Tools & Technologies

Apache IcebergTrinoLakehouse Architecture

Industry Keywords

Batch Data PipelinesData Processing JobsEnd to End Data FlowsOn-Premises Cluster Experience

Tech Stack

Tools & technologies

ApacheSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.