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Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and Quantexa software on OpenShift, integrating data for compliance/AML analytics.
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Build and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Design and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Build and maintain scalable data pipelines and platforms for geospatial analytics to support education planning and infrastructure decisions using Python, SQL, and cloud-native tools.
Lead the design and delivery of enterprise-scale data platforms for a bank, building scalable Lakehouse architectures with Databricks, Snowflake, and Apache Iceberg/Delta Lake/Hudi to support regulatory reporting, risk management, and AI-driven analytics.
Design and deploy containerized data pipelines on OpenShift for banking analytics, using Spark, Hadoop, and Python to transform and enrich financial data for ML and reporting.
Design and build scalable cloud-native data pipelines and lakehouse architectures, integrating AI/ML capabilities for a government data platform using Python, Spark, Kafka, and AWS services.
Build and maintain cloud data infrastructure on AWS and Databricks, using Python and Informatica IDMC to design pipelines, integrate data sources, and ensure quality and governance.
Lead the design and delivery of scalable data platforms and analytics solutions using Databricks, Snowflake, and Tableau to enable self-service BI and advanced analytics across Finance, Supply Chain, and other domains.
Senior Business Analyst to bridge technical and program teams, defining requirements for Venn, a platform unifying monitoring/evaluation and systems for international development programs in sub-Saharan Africa.
Designs and builds a distributed, microservices-based data platform handling cataloguing, metadata, and high-volume workflows using Golang, Kafka, PostgreSQL, MongoDB, and Redis in Kubernetes.
Design and maintain scalable data pipelines and infrastructure for Saudi Aramco’s Downstream Global Optimizer, enabling real-time analytics and machine learning to optimize refining and energy operations.
Designs and builds scalable, secure data platforms and pipelines using SQL Server, SSIS, Snowflake, and cloud-native services for enterprise analytics and governance.
Build and maintain data quality frameworks and pipelines, enforcing standards across systems and mentoring teams to ensure reliable enterprise data.
Design and maintain data quality frameworks, rules, and automated checks to ensure enterprise data accuracy and reliability across systems.
Designs and maintains scalable data pipelines and infrastructure for Saudi Aramco’s downstream optimization, enabling real-time analytics and ML models with Python, Spark, and cloud platforms.
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