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Job Title: Senior Python Developer Reports to : Lead Machine Learning Engineer Intelligent Audit is a rapidly expanding freight audit and business analytics technology company helping our customers become smarter…
The candidate required to work at Bangkok, Thailand. Client Overview Our client is a global financial technology (fintech) and artificial intelligence (AI) enterprise established in 2014. The company leverages big data…
Deliver data science and ML solutions for clients across telecom, media, and tech sectors, using Python, GenAI frameworks (LangChain, LlamaIndex, RAG), ML libraries (PyTorch, scikit-learn), cloud platforms (AWS, Azure), and MLOps practices with a team management component.
Mid/Senior .NET Developer builds and maintains web/software applications using .NET, MSSQL/MySQL, and RESTful APIs, focusing on performance, security, and microservices architecture for diverse client projects in finance, retail, healthcare, and entertainment.
Senior Analytics Engineer designing and maintaining ELT pipelines and dimensional data models in Google BigQuery using SQL, Python, and dbt to deliver clean datasets to end users.
This role involves building and maintaining scalable data pipelines using Java, Scala, and big data frameworks like BigQuery and Apache Spark. The engineer will collaborate with data science teams to support machine learning and AI initiatives within a high-performance marketing platform.
Lead a data engineering team building micro-batch and real-time streaming pipelines (lambda architecture) processing millions of daily events for a performance-marketing platform. Core stack is GCP (BigQuery, Spanner, Bigtable, Dataproc) with Java, Scala, and Spark.
Senior IT Operations Engineer at BigID builds cross-tool automation, owns the identity layer (Okta/Auth0), and deploys cloud integrations with Terraform and GitLab CI/CD on AWS/GCP, while rolling out AI tooling like Claude and MCP servers and handling Tier 2/3 escalations. Remote role on the US East Coast (EST).
Designs and builds scalable data orchestration infrastructure for batch processing at Stripe, using tools like Airflow, Spark, and Kafka to support financial and analytics workflows.
Lead an engineering team at Stripe's Bengaluru office building the accounting system foundation and user-facing features that automate accrual accounting for customers, within the Revenue & Financial Management group (Billing, Invoicing, Revenue Recognition). Day to day: managing and coaching engineers, driving the roadmap with PMs, and solving large-scale distributed and big data engineering chal
A senior analyst on Sony Interactive Entertainment's Game Security Team investigates cheating in PlayStation games using game data and telemetry, building evidence-backed reports and helping prioritize, validate, and tune anti-cheat detections alongside engineers and data scientists. Core toolkit includes SQL and big data services like Redshift, Snowflake, and BigQuery.
Builds and operates the AI/ML platform at Cambridge Mobile Telematics: running LLM applications and model services on AWS and Kubernetes/EKS, automating training and deployment workflows with Terraform, Helm, and Argo CD, and owning monitoring, cost controls, and incident response for engineering and ML teams.
Senior Java/J2EE developer (8+ years) who designs and implements complex IT systems, processes large-scale data with Spark/Flink/Storm, HBase, Elasticsearch and Kafka, and builds Spring/gRPC microservices on cloud platforms, using DevOps tooling for builds, testing and production support.
Senior Java/big data developer in Singapore designing and implementing complex IT systems: 8+ years of Java/J2EE with Spring Boot REST services, plus 2+ years on the Hadoop big data ecosystem (Storm, HDFS, HBase, Ignite), Kafka streaming, SQL/NoSQL stores, Docker/Kubernetes, and TDD/DevOps practices.
Builds scalable AI/ML models and GenAI-powered applications for Cloudflare’s global data platform, collaborating with engineering and business teams to drive insights and operationalize data at petabyte scale.
Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put…
Data engineer/reporting developer serving a public-sector Authority in Singapore: analyses data needs, builds big-data ETL pipelines and BI reports/dashboards, supports testing, deployment and production. Core stack: SQL, Python/PySpark, Linux, Informatica, Cloudera (Hive/Impala), Tableau/SAP BO, Denodo, plus AI coding tools.
Senior data engineer at Xiaomi in Singapore who leads the design and evolution of the overseas data warehouse and data platform across mobile, IoT, and app data. Builds batch and real-time pipelines with Spark/Flink, defines DW architecture and governance, applies ML/NLP to large-scale data, and mentors junior engineers.
Senior Data Engineer in Singapore (8-12 yrs experience) building large-scale Data Lake/Lakehouse platforms and data products using Spark/PySpark, Databricks/Snowflake, cloud platforms (AWS/Azure/GCP), streaming (Kafka/Flink), table formats (Iceberg/Hudi/Delta), and Kubernetes-based CI/CD tooling, with some NLP/ML and full-stack Python work.
Senior Data Engineer in Singapore (on-site) building enterprise Lakehouse, data product, and data marketplace platforms. Day to day: designing batch, streaming, CDC, and GenAI/RAG-ready pipelines using Databricks, Spark/PySpark, Python, SQL, open table formats (Iceberg/Hudi/Delta), and CI/CD tooling on cloud platforms like Azure, AWS, or GCP.
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