Axross Pte Ltd

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Data Engineer to build a scalable big data processing platform enabling real-time decision-making and AI-powered automation for industrial HVAC, handling large-scale data processing, ensuring data quality, and reducing costs, while collaborating with AI, IoT and software teams to provide actionable insights and real-time dashboards.

Location: Kuala Lumpur

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain scalable big data pipelines that handle large volumes of sensor and control data
•Design and operate a real-time data processing system that supports timely decision-making
•Integrate Kafka and Spark Streaming for low-latency, event-driven data streaming
•Implement cloud-based analytics solutions (AWS, Azure, GCP) to support advanced processing
•Develop automated data quality checks to ensure high-quality, validated inputs and maintain data integrity

Pay and Benefits

Salary: USD 1,500 - 3,000 annually

Key Requirements

•3–6+ years of experience in big data engineering or data infrastructure roles
•Hands-on expertise in large-scale data processing, ETL pipelines, and cloud-based storage
•Expertise in Spark, Python and SQL
•Experience in Spark Streaming, Kafka, Delta Lakehouse, Databricks (DLT) and Azure Synapse
•Experience in data visualization (e.g., Apache Superset, Tableau and Power BI) and version control (Git)

Experience:3-6 yearsBig dataIndustrialIoTCloud computing

Skills:CommunicationCollaborationProblem-solving

Tech Stack:Microsoft AzurePythonSQLSparkHadoopData WarehousingETLKafkaInternet of Things (IoT)DatabricksDelta LakehouseAzure SynapseApache SupersetTableauPower BIGit

Company Brief

Axross Pte Ltd

Axross is a Singapore-based hiring platform that connects technology employers with software engineering talent, offering streamlined recruitment, candidate assessment, and matchmaking services to help companies hire developers efficiently.

Industry: HR Tech

Growth: Early Stage Startup

Headquarters: Singapore, Singapore

Website

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Axross Pte Ltd

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Kuala Lumpur

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain scalable big data pipelines that handle large volumes of sensor and control data
•Design and operate a real-time data processing system that supports timely decision-making
•Integrate Kafka and Spark Streaming for low-latency, event-driven data streaming
•Implement cloud-based analytics solutions (AWS, Azure, GCP) to support advanced processing
•Develop automated data quality checks to ensure high-quality, validated inputs and maintain data integrity

Pay and Benefits

Salary: USD 1,500 - 3,000 annually

Key Requirements

•3–6+ years of experience in big data engineering or data infrastructure roles
•Hands-on expertise in large-scale data processing, ETL pipelines, and cloud-based storage
•Expertise in Spark, Python and SQL
•Experience in Spark Streaming, Kafka, Delta Lakehouse, Databricks (DLT) and Azure Synapse
•Experience in data visualization (e.g., Apache Superset, Tableau and Power BI) and version control (Git)

Experience:3-6 yearsBig dataIndustrialIoTCloud computing

Skills:CommunicationCollaborationProblem-solving

Tech Stack:Microsoft AzurePythonSQLSparkHadoopData WarehousingETLKafkaInternet of Things (IoT)DatabricksDelta LakehouseAzure SynapseApache SupersetTableauPower BIGit

Company Brief

Axross Pte Ltd

Industry: HR Tech

Growth: Early Stage Startup

Headquarters: Singapore, Singapore

Website