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Senior Specialist: Cloud Data Engineer Cape Town, South Africa Enterprise Datawarehouse Posted 4 hours ago
Designs and maintains scalable cloud and on-prem data pipelines using Spark, Kafka, and Flink, and deploys microservices in OpenShift/AWS/GCP to support real-time analytics and edge applications.
Data Engineering Senior Manager
Lead a team of data engineers to design and build scalable cloud data pipelines using Snowflake, Spark, and AWS for Evernorth’s healthcare analytics platform.
Системный аналитик (Гос. сектор)
Analyzes government-sector systems, designs data migration and integration workflows, and writes SQL queries to build and map data warehouses.
Data Engineer / Системный аналитик (SQL, Python) / Backend Developer
Build and optimize ETL pipelines, design SQL-heavy analytics, or develop Python/Django/FastAPI backends for enterprise systems and data platforms.
Cloud Data Architect
Key Responsibilities Architecture DesignMinimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units.Expertise in Designing and defining enterprise data…
Data Engineer
Builds and maintains BigData ETL/ELT pipelines in Python/Java, moving data from APIs, logs and databases into DWH and Data Lake using Spark, Airflow and Hadoop tooling.
Software Engineer Level 2-FFPP-8894
Develops and maintains secure software systems for government programs, requiring active TS/SCI clearance and strong Java or AWS expertise.
Data Engineer
Senior Data Engineer builds and optimizes enterprise data warehouses, ETL/ELT pipelines, and SQL queries using Hadoop ecosystem, Spark, Kafka, and PostgreSQL/Greenplum.
Senior Data Engineer - Databricks
Senior Data Engineer builds and optimizes scalable data pipelines on Databricks using Spark and Delta Lake for global clients, focusing on cloud-based analytics and ML workflows.
Software Engineer - Java / Cloud Platform, Senior Associate - TS/SCI w/poly
Build and maintain Java-based cloud applications for large-scale, mission-critical distributed systems used by the Intelligence Community, deploying via IaC and CI/CD in containerized environments.
Data Engineer II
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
DevOps Engineer
Build and automate cloud and edge infrastructure using Kubernetes, AWS, Terraform, and Python to deploy and scale services for a government customer onsite in Fort Meade.
DevOps Engineer (RC-3)
Build and automate CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for secure software deployments while leading an Agile team.
Lead Software Development Engineer in Test (SDET)
Lead a team to design and maintain automated testing frameworks for Java-based cloud-native apps and data pipelines, reducing manual testing and improving CI/CD workflows.
Principal Product Software Engineer
Principal engineer building and scaling Disney’s ad-tech data pipelines and audience platforms using Scala, Spark, Airflow, and Snowflake to serve personalized ads across Disney+, Hulu, ESPN, and ABC.
Software Developer
Senior developer leading architecture, mentoring teams, and driving automation and Gen AI-first innovation in a large retail-tech environment.
Senior Software Engineer, Big Data
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Senior Data Engineer (Big Data & Data Warehouse)
Designs and builds data pipelines, warehouses, and ETL processes using Hadoop, Spark, Kafka, and SQL, ensuring data quality and access for banking analytics.
Junior Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes, while learning data pipelines, ingestion, and cloud-native tooling under mentorship.
Data Scientist (AI/ML)
Build and deploy AI/ML models for government cyber missions using Python, cloud platforms, and Kubernetes; analyze cyber data to extract insights and maintain production ML infrastructure.