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Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze large volumes of structured/unstructured data for analytics and AI-driven decision support.
Mid-level software engineer building secure data solutions on AWS, Hadoop, and Accumulo using Terraform, Java, and Python for U.S. government clients.
Design and deploy AI models using Python and frameworks like TensorFlow/PyTorch to solve complex problems and enhance products.
Senior Software Engineer designing and maintaining data-processing platforms, APIs, and automation tools for government cyber operations using Python/JavaScript and Linux.
Position Overview We are hiring a potential Data Engineer for our Data management division to contirubute to one of the largest data platforms (TRUST) Role & Responsibilities Develop TRUST data strategy: Work with…
Designs and maintains data pipelines and infrastructure using Azure Databricks, Python, and Spark to support analytics and ML models for a global logistics company.
Build and maintain Shopee’s big-data platform, writing scalable backend services in Java/Go/Python to power analytics, scheduling, and visualization for thousands of internal users.
Build and maintain full-stack Python applications using Django/Flask, REST APIs, and big-data tools like Kafka/Spark for a Singapore-based outsourcing firm.
Lead a team of software engineers to build and enhance large-scale scientific data platforms using Java/Linux, big data tech (Hadoop, Spark), and DevOps practices.
Build and maintain scalable data pipelines and platforms for AML and payments in banking, using Python, Spark, Snowflake, and Azure to process and transform financial data for analytics and compliance.
Build and maintain scalable data pipelines for real-time pricing systems using AWS, Spark, and Airflow, enabling data-driven decisions for a mobility platform.
Senior Data Engineer designs and builds big-data pipelines and Spark/Java applications to support risk analytics in a fintech firm, optimizing Hadoop/Spark workloads on Cloudera.
Build and maintain scalable data pipelines using Python, Spark, AWS, and Snowflake to power analytics and insights for a global restaurant group.
Build and maintain data pipelines and ETL processes using PySpark, Airflow, and Databricks to power analytics and customer-focused products for a large retail company.
Designs and maintains scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and business intelligence workflows.
Builds and optimizes big-data pipelines using Hadoop, Spark, and SQL for a banking analytics platform, ensuring scalable ETL and reporting.
Senior data engineer builds and maintains scalable data pipelines using Snowflake, DBT, Glue, and Python to deliver analytics and reporting solutions for enterprise clients.
Build and improve data pipelines and warehousing for an AI-driven retail optimization platform using Python/Go and cloud tech.
Builds and maintains big-data pipelines using Spark, Scala, Hive, and SQL for a financial-sector client, with optional real-time streaming.
Designs and builds data pipelines, warehouses, and integrations using Snowflake, Hadoop, and Informatica for insurance-related systems.
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