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Senior Hadoop Developer to develop, create, and modify general computer applications software or specialized utility programs. Job responsibilities and duties include: Implement data analytics processing algorithms on…
Build and modernize cloud-native enterprise apps for federal law enforcement using Java, Spring Boot, microservices, and AWS GovCloud, while supporting production systems and DevSecOps practices.
Job Description: · 5+ years’ experience working in Data Engineering and Warehousing. · 3 -5 years’ experience integrating data into analytical platforms · Experience in ingestion technologies (e.g. Sqoop, flume),…
Designs and documents software solutions for government data systems, converting requirements into technical specs and assessing feasibility using big data and DevOps tools.
Builds and maintains data pipelines using Azure, PySpark, and SQL to load and transform large datasets for analytics and reporting.
Builds and maintains scalable big data pipelines, warehouses, and analytics platforms using Spark, Kafka, and SQL, handling both batch and real-time data processing for enterprise solutions.
Experience with Architecture creation and delivery which includes understanding requirements, formulating design, and communicating the architecture Lead a group of architects, provide them direction & help with…
Build and maintain offline and real-time data warehouses for TikTok LIVE, processing hundreds of billions of records using big data tools like Spark, Hadoop, and Flink.
About SHEIN SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains…
Designs and implements cloud-based data architectures (AWS, Azure, GCP) and real-time pipelines (Kafka, Snowflake, Databricks) to align client business goals with modern data solutions.
Designs and implements cloud-based data architectures (AWS/Azure/GCP) and pipelines to improve data integration, quality, and delivery for enterprise clients.
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
Responsibilities Design and build realtime and batch data pipelines for fraud detection and AML monitoring. Process streaming transaction data using Apache Spark and Kafka. Develop ETLELT workflows supporting customer…
Build and maintain large-scale data warehouses and pipelines for TikTok LIVE, processing billions of records daily using SQL, Python, and big-data tools like Spark and Kafka.
Build and maintain large-scale data warehouses and pipelines for TikTok’s PGC business, processing billions of records to power analytics and dashboards.
Build and optimize large-scale recommendation system architectures using big data tools like Spark and Flink to improve user experience and system performance.
Designs and builds AWS-based data pipelines, warehouses, and lakes for analytics and AI use cases, working with SQL, NoSQL, ETL tools, and cloud services.
Build and maintain a data platform that ingests, processes, and serves programmatic advertising data using Java/Kotlin/C++, REST APIs, and cloud services.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
Build backend services for a fintech AI platform that monitors transactions and automates compliance workflows using Kotlin, Python, Postgres, Kafka, and AWS/GCP.
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