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Owns cloud security detection and response for Veeam’s SaaS platform on Azure/AWS, building a security data lake, writing detections as code, and automating remediation via Terraform and Python.
Job Description Position Summary Base-2 Solutions is seeking a Data Lake Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data…
Design and maintain scalable AWS-based data pipelines and data lake solutions using Spark, Python, SQL, and Kafka.
Maintains and evolves a corporate data lake on AWS, ensuring stability, scalability, and performance. Builds batch/streaming pipelines using Spark, Kafka, and Python for real-time data integration.
Build and maintain simple data pipelines, validate data quality, and create basic reports using SQL, Python, Azure Data Lake, and Databricks for a fintech platform.
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
Builds and maintains data pipelines, scripts, and notebooks for regulatory decision-making, focusing on SQL/Python, data ingestion, transformation, and documentation under senior guidance.
Designs and builds cloud-native data systems on Azure/Databricks to transform raw data into business insights, ensuring security, scalability, and reliability.
Designs and builds scalable AWS data lakes and ingestion pipelines, bridging data science and engineering needs.
Designs and optimizes AWS-based data lakes and ingestion pipelines, modeling data in Redshift/RDS/DynamoDB while collaborating with analysts and solution architects.
Designs and leads AWS-based data lake and pipeline architectures, collaborating with stakeholders to align technical solutions with business needs using cloud-native tools.
Builds and maintains a Microsoft Fabric-based data layer that integrates multiple sources into versioned, auditable datasets for insurance risk models.
The Solutions Architect designs and delivers technical foundations for AI-enabled products within the Kroger Precision Marketing portfolio. This role involves defining architecture patterns, building prototypes, and collaborating with cross-functional teams to scale data and API solutions.
Leads a data engineering team to design, build, and maintain scalable data pipelines (batch/real-time) and platforms (Data Lake, DWH) for gambling operations, ensuring data quality, security, and alignment with business goals.
Senior Solution Engineer at Snowflake demonstrates and sells AI-native data solutions to enterprises, bridging technical and business needs with hands-on SQL, Python, and cloud expertise.
Salary: £90,000 - 100,000 per year Requirements: Extensive experience in data engineering, including time spent in a Lead or Principal role Strong background working in a cloud-native data platform Hands-on experience…
Salary: £66,000 - 106,000 per year Requirements: Experience in one or more of the following: Dynamics 365 CE (C#), Dynamics 365 F&O (X), Power Platform development, API and integration development, Azure DevOps,…
Senior Data Engineer designing and building scalable cloud-native data platforms, implementing near-real-time event-driven ingestion pipelines, and optimizing Spark/PySpark workflows with CI/CD best practices.
We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 markets, who work together to make, move and sell some of the world’s most loved drinks. We are a global…
Designs and optimizes large-scale cloud data pipelines and architectures for healthcare data, using Python, PySpark, and cloud platforms like Azure, Snowflake, and Databricks to ensure seamless data integration and performance.
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