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Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
Designs and optimizes AWS-based data pipelines (ETL/ELT) using SQL, Python, and AWS services like Glue, Redshift, and Kafka to enable analytics and reporting for data-driven decisions.
Designs and maintains AWS-based data platforms, focusing on Lake Formation, QuickSight, and serverless analytics. Uses Terraform, IAM, and cloud-native tools to build scalable data pipelines and secure enterprise solutions.
Designs and maintains scalable cloud-based data pipelines and architectures for Singapore’s public housing authority, focusing on Data Lakehouse solutions, ETL/ELT workflows, and AI/ML integration to support evidence-based policy and service improvements.
The Data Engineer – Business Intelligence & Dashboards will be responsible for the following: Stakeholder Engagement: Partner with business units across SportSG to understand data and reporting needs Translate…
Designs and leads enterprise-grade data platforms, integrating AI/data engineering with cloud technologies (Azure/AWS/GCP) to deliver scalable, secure, and future-proof solutions for clients.
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Builds scalable AWS backend solutions with event-driven architectures, focusing on serverless tech, data processing, and CI/CD automation for modern cloud platforms.
Designs and builds scalable data pipelines and lakehouse architectures on AWS, Snowflake, and Databricks to enable real-time and batch data processing, integrating internal/external sources for Domain-CoStar’s APAC property tech products and analytics teams.
¡Se parte del principal partner de AWS en Latinoamérica y ayuda a las empresas más grandes e innovadoras a acelerar su viaje a la nube! ☁️ Somos un grupo de profesionales talentosos y apasionados en tecnologías en la…
Data Engineer especializado en AWS que diseña, desarrolla y mantiene procesos ETL/ELT para integración y transformación de datos en entornos cloud, con enfoque en migración de Oracle a AWS y procesamiento distribuido con Apache Spark.
Design, develop and deploy data tables , views and marts in data warehouses, operational data store, data lake and data virtualization. Perform data extraction, cleaning, transformation and flow . Web scraping may be…
Build and maintain scalable data pipelines and ETL workflows using Python, SQL, and cloud platforms to move and transform large datasets for analytics and reporting.
Administers Oracle/SQL databases for VA systems, focusing on migration to cloud platforms, performance tuning, and compliance with federal IT standards.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Leads a team managing data engineering operations, production support, and cloud-based data pipelines/warehouses (Snowflake, AWS Glue) while migrating legacy Oracle/MS-SQL/Hive workloads and improving data quality/automation.
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure for Singapore government agencies. The role involves data extraction, transformation, and integration using cloud-based tools and big data frameworks.
Designs and maintains scalable data pipelines and lakehouse architectures on AWS, specializing in PySpark, ETL/ELT workflows, and serverless automation for fintech/regulatory data.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
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