Total 10 job vacancies by Horizon Computer Management Pte. Ltd.

Key Responsibilities

• Design, develop, and maintain data pipelines, ETL/ELT processes, and data integration workflows.
• Architect and optimize data lakes, data warehouses, and streaming platforms.
• Work with structured, semi-structured, and unstructured data at scale.
• Implement real-time and batch data processing solutions.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to deliver high-quality data solutions.
• Ensure data security, lineage, governance, and compliance across platforms.
• Optimize queries, data models, and storage for performance and cost efficiency.
• Automate processes and adopt DevOps/DataOps practices for CI/CD in data engineering.
• Troubleshoot complex data-related issues and resolve production incidents.
• Mentor junior engineers and contribute to technical strategy and best practices.

Technical Skills (Must-Have Tough Requirements)

Programming & Scripting

• Proficiency in Python, Scala, or Java for data engineering.
• Strong SQL skills (query optimization, tuning, advanced joins, window functions).

Big Data & Distributed Systems

• Expertise with Apache Spark, Hadoop, Hive, HBase, Flink, Kafka.
• Hands-on with streaming frameworks (Kafka Streams, Spark Streaming, Flink).

Cloud & Data Platforms

• Deep knowledge of AWS (Redshift, Glue, EMR, Athena, S3, Kinesis),
  or Azure (Synapse, Data Factory, Databricks, ADLS),
  or GCP (BigQuery, Dataflow, Pub/Sub, Dataproc).
• Experience with Snowflake, Databricks, or Teradata.

ETL/ELT & Orchestration

• Strong experience with Airflow, Luigi, Azkaban, Prefect.
• ETL tools like Informatica, Talend, SSIS.

Data Modeling & Storage

• Experience with Data Lakes, Data Warehouses, and Lakehouse architectures.
• Knowledge of Star Schema, Snowflake Schema, Normalization/Denormalization.

DevOps & Automation

• Proficiency in CI/CD (Jenkins, GitLab, Azure DevOps) for data pipelines.
• Experience with Docker, Kubernetes, Terraform, Ansible for infrastructure automation.

Other Tough Skills

• Strong knowledge of Data Governance, MDM, Data Quality, Metadata Management.
• Familiarity with Graph Databases (Neo4j), Time-Series Databases (InfluxDB, TimescaleDB).
• Understanding of machine learning data pipelines (feature engineering, model serving).

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
• 7–10 years of experience in data engineering or big data development.
• At least 2–3 large-scale end-to-end data platform implementations.
• Preferred Certifications:
  AWS Certified Data Analytics – Specialty
  Google Professional Data Engineer
  Databricks Certified Data Engineer

Key Responsibilities

• Design, develop, and maintain data pipelines, ETL/ELT processes, and data integration workflows.
• Architect and optimize data lakes, data warehouses, and streaming platforms.
• Work with structured, semi-structured, and unstructured data at scale.
• Implement real-time and batch data processing solutions.
• Collaborate with Data Scientists, Analysts, and Business stakeholders to deliver high-quality data solutions.
• Ensure data security, lineage, governance, and compliance across platforms.
• Optimize queries, data models, and storage for performance and cost efficiency.
• Automate processes and adopt DevOps/DataOps practices for CI/CD in data engineering.
• Troubleshoot complex data-related issues and resolve production incidents.
• Mentor junior engineers and contribute to technical strategy and best practices.

Technical Skills (Must-Have Tough Requirements)

Programming & Scripting

• Proficiency in Python, Scala, or Java for data engineering.
• Strong SQL skills (query optimization, tuning, advanced joins, window functions).

Big Data & Distributed Systems

• Expertise with Apache Spark, Hadoop, Hive, HBase, Flink, Kafka.
• Hands-on with streaming frameworks (Kafka Streams, Spark Streaming, Flink).

Cloud & Data Platforms

• Deep knowledge of AWS (Redshift, Glue, EMR, Athena, S3, Kinesis),
  or Azure (Synapse, Data Factory, Databricks, ADLS),
  or GCP (BigQuery, Dataflow, Pub/Sub, Dataproc).
• Experience with Snowflake, Databricks, or Teradata.

ETL/ELT & Orchestration

• Strong experience with Airflow, Luigi, Azkaban, Prefect.
• ETL tools like Informatica, Talend, SSIS.

Data Modeling & Storage

• Experience with Data Lakes, Data Warehouses, and Lakehouse architectures.
• Knowledge of Star Schema, Snowflake Schema, Normalization/Denormalization.

DevOps & Automation

• Proficiency in CI/CD (Jenkins, GitLab, Azure DevOps) for data pipelines.
• Experience with Docker, Kubernetes, Terraform, Ansible for infrastructure automation.

Other Tough Skills

• Strong knowledge of Data Governance, MDM, Data Quality, Metadata Management.
• Familiarity with Graph Databases (Neo4j), Time-Series Databases (InfluxDB, TimescaleDB).
• Understanding of machine learning data pipelines (feature engineering, model serving).

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field.
• 7–10 years of experience in data engineering or big data development.
• At least 2–3 large-scale end-to-end data platform implementations.
• Preferred Certifications:
  AWS Certified Data Analytics – Specialty
  Google Professional Data Engineer
  Databricks Certified Data Engineer

Key Responsibilities

• Design, develop, test, and maintain high-quality software applications.

• Write clean, scalable, and efficient code following best practices and coding standards.

• Participate in the full software development lifecycle (requirements analysis, design, development, testing, deployment, and support).

• Collaborate with product managers, business analysts, and cross-functional teams to understand functional and technical requirements.

• Perform code reviews and ensure adherence to security and performance standards.

• Troubleshoot, debug, and resolve application issues in development and production environments.

• Develop and maintain technical documentation.

• Support application enhancements, upgrades, and system integrations.

• Ensure timely delivery of assigned tasks and projects.

Required Skills & Qualifications

Education:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Experience:

• 3–5 years of professional experience as a Software Engineer or similar role.

Technical Skills:

• Proficiency in one or more programming languages such as Java, Python, C#, JavaScript, or C++.

• Experience with web application frameworks (e.g., Spring Boot, .NET, Node.js, Angular, React).

• Strong understanding of object-oriented programming (OOP) and design patterns.

• Hands-on experience with databases (SQL and/or NoSQL).

• Familiarity with RESTful APIs and system integrations.

• Experience using version control systems (e.g., Git).

• Knowledge of software testing methodologies and tools.

Preferred / Added Advantages

• Experience with cloud platforms (AWS, Azure, or GCP).

• Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

• Exposure to Agile/Scrum methodologies.

• Experience in enterprise, government, or large-scale systems.

Key Responsibilities

• Design, deploy, and maintain on-premise and cloud-based IT infrastructure.

• Install, configure, and support Windows and/or Linux servers.

• Manage virtualization platforms such as VMware, Hyper-V, or similar technologies.

• Monitor infrastructure performance, availability, and capacity.

• Perform system upgrades, patching, and preventive maintenance.

• Troubleshoot and resolve server, network, storage, and hardware-related issues.

• Implement and maintain backup, disaster recovery, and business continuity solutions.

• Ensure infrastructure security, compliance, and adherence to IT policies.

• Collaborate with application teams, vendors, and service providers.

• Maintain infrastructure documentation, SOPs, and technical diagrams.

Required Skills & Qualifications

Education:

• Bachelor’s degree or Diploma in Computer Science, Information Technology, Engineering, or related field.

Experience:

• 3–5 years of professional experience as an Infrastructure Engineer, System Engineer, or similar role.

Technical Skills:

• Strong experience with Windows Server and/or Linux (RHEL, Ubuntu).

• Hands-on experience in server hardware, storage (SAN/NAS), and networking.

• Experience with virtualization platforms (VMware, Hyper-V).

• Knowledge of Active Directory, DNS, DHCP, Group Policy.

• Familiarity with backup and recovery solutions.

• Working knowledge of networking concepts (LAN, WAN, VPN, firewalls).

• Exposure to cloud platforms (AWS, Azure, GCP) is an advantage.

Preferred / Added Advantages

• Experience in enterprise or government IT environments.

• Knowledge of ITIL processes (Incident, Change, Problem Management).

• Experience with automation or scripting (PowerShell, Bash).

• Relevant certifications (Microsoft, VMware, Linux, AWS, Azure).

Key Responsibilities

• Gather and analyze business requirements and translate them into SAP functional and technical specifications.

• Configure and customize SAP modules based on business needs.

• Support end-to-end SAP implementation projects, including blueprinting, realization, testing, deployment, and support.

• Provide production support, troubleshooting, and root-cause analysis for SAP-related issues.

• Coordinate with ABAP and technical teams for enhancements, integrations, and reports.

• Support system integration, data migration, and interface development.

• Conduct unit testing, UAT support, and training for end users.

• Prepare functional documentation, configuration documents, and user manuals.

• Ensure SAP solutions comply with security, governance, and compliance standards.

• Participate in change management, release management, and continuous improvement initiatives.

Required Skills & Qualifications

Education

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Business, or a related field.

Experience

• 4–8 years of hands-on experience as an SAP Consultant.

SAP Functional / Technical Skills

• Strong hands-on experience in one or more SAP modules, such as:

  • SAP FI/CO (Finance & Controlling)

  • SAP MM (Materials Management)

  • SAP SD (Sales & Distribution)

  • SAP HCM / SuccessFactors

  • SAP PP / QM / PM

  • SAP BW / BI / SAC

• Experience with SAP S/4HANA implementation or migration projects.

• Working knowledge of SAP integration technologies (IDocs, BAPIs, RFCs, APIs).

• Basic understanding of ABAP for debugging and coordination with technical teams.

• Experience with data migration tools such as LTMC, LSMW, or Migration Cockpit.

Key Responsibilities

• Gather and analyze business requirements and translate them into SAP functional and technical specifications.

• Configure and customize SAP modules based on business needs.

• Support end-to-end SAP implementation projects, including blueprinting, realization, testing, deployment, and support.

• Provide production support, troubleshooting, and root-cause analysis for SAP-related issues.

• Coordinate with ABAP and technical teams for enhancements, integrations, and reports.

• Support system integration, data migration, and interface development.

• Conduct unit testing, UAT support, and training for end users.

• Prepare functional documentation, configuration documents, and user manuals.

• Ensure SAP solutions comply with security, governance, and compliance standards.

• Participate in change management, release management, and continuous improvement initiatives.

Required Skills & Qualifications

Education

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Business, or a related field.

Experience

• 4–8 years of hands-on experience as an SAP Consultant.

SAP Functional / Technical Skills

• Strong hands-on experience in one or more SAP modules, such as:

  • SAP FI/CO (Finance & Controlling)

  • SAP MM (Materials Management)

  • SAP SD (Sales & Distribution)

  • SAP HCM / SuccessFactors

  • SAP PP / QM / PM

  • SAP BW / BI / SAC

• Experience with SAP S/4HANA implementation or migration projects.

• Working knowledge of SAP integration technologies (IDocs, BAPIs, RFCs, APIs).

• Basic understanding of ABAP for debugging and coordination with technical teams.

• Experience with data migration tools such as LTMC, LSMW, or Migration Cockpit.

Key Responsibilities

• Design, develop, test, and maintain high-quality software applications.

• Write clean, scalable, and efficient code following best practices and coding standards.

• Participate in the full software development lifecycle (requirements analysis, design, development, testing, deployment, and support).

• Collaborate with product managers, business analysts, and cross-functional teams to understand functional and technical requirements.

• Perform code reviews and ensure adherence to security and performance standards.

• Troubleshoot, debug, and resolve application issues in development and production environments.

• Develop and maintain technical documentation.

• Support application enhancements, upgrades, and system integrations.

• Ensure timely delivery of assigned tasks and projects.

Required Skills & Qualifications

Education:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Experience:

10 years of professional experience as a Software Engineer or similar role.

Technical Skills:

• Proficiency in one or more programming languages such as Java, Python, C#, JavaScript, or C++.

• Experience with web application frameworks (e.g., Spring Boot, .NET, Node.js, Angular, React).

• Strong understanding of object-oriented programming (OOP) and design patterns.

• Hands-on experience with databases (SQL and/or NoSQL).

• Familiarity with RESTful APIs and system integrations.

• Experience using version control systems (e.g., Git).

• Knowledge of software testing methodologies and tools.

Preferred / Added Advantages

• Experience with cloud platforms (AWS, Azure, or GCP).

• Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

• Exposure to Agile/Scrum methodologies.

• Experience in enterprise, government, or large-scale systems.

Key Responsibilities

• Design, deploy, and maintain on-premise and cloud-based IT infrastructure.

• Install, configure, and support Windows and/or Linux servers.

• Manage virtualization platforms such as VMware, Hyper-V, or similar technologies.

• Monitor infrastructure performance, availability, and capacity.

• Perform system upgrades, patching, and preventive maintenance.

• Troubleshoot and resolve server, network, storage, and hardware-related issues.

• Implement and maintain backup, disaster recovery, and business continuity solutions.

• Ensure infrastructure security, compliance, and adherence to IT policies.

• Collaborate with application teams, vendors, and service providers.

• Maintain infrastructure documentation, SOPs, and technical diagrams.

Required Skills & Qualifications

Education:

• Bachelor’s degree or Diploma in Computer Science, Information Technology, Engineering, or related field.

Experience:

• 9 years of professional experience as an Infrastructure Engineer, System Engineer, or similar role.

Technical Skills:

• Strong experience with Windows Server and/or Linux (RHEL, Ubuntu).

• Hands-on experience in server hardware, storage (SAN/NAS), and networking.

• Experience with virtualization platforms (VMware, Hyper-V).

• Knowledge of Active Directory, DNS, DHCP, Group Policy.

• Familiarity with backup and recovery solutions.

• Working knowledge of networking concepts (LAN, WAN, VPN, firewalls).

• Exposure to cloud platforms (AWS, Azure, GCP) is an advantage.

Preferred / Added Advantages

• Experience in enterprise or government IT environments.

• Knowledge of ITIL processes (Incident, Change, Problem Management).

• Experience with automation or scripting (PowerShell, Bash).

• Relevant certifications (Microsoft, VMware, Linux, AWS, Azure).

Job Description & Requirements

Responsible for preparing the test plan, testing artifacts, and requirements

traceability matrix based on the scope of the functional specification and business

requirement documents.

 Responsible for analysing and understanding the data mapping Document provided

by the client and building EDW load scripts.

 Responsible for test activities such as test execution, capturing and analysing test

results and raising & tracking defects.

 Investigating and analysing suspicious transactions and activities, ensuring

compliance with anti-money laundering (AML) laws and regulations.

 Developed both Technical functional specifications/Design Document through

meetings with Business Analysts, Data modelers, Downstream users, and BAU team.

 Testing Financial DataMart’s and Data warehouse built on Teradata FSLDM.

 Perform Functional, Regression, Unit, Integration, Performance, Sanity, and Usability

testing from the end user’s perspective in all aspects of the product to ensure proper

functionality and data quality.

 Regression test suites were identified, and automated scripts were returned for the

suites as required for better performance.

 Established continuous integration (CI) practices and standards for the product.

Execution of test cases in JIRA & timely updates of status to the client, and ensuring

successful delivery

Job Description & Requirements

Responsible for preparing the test plan, testing artifacts, and requirements

traceability matrix based on the scope of the functional specification and business

requirement documents.

 Responsible for analysing and understanding the data mapping Document provided

by the client and building EDW load scripts.

 Responsible for test activities such as test execution, capturing and analysing test

results and raising & tracking defects.

 Investigating and analysing suspicious transactions and activities, ensuring

compliance with anti-money laundering (AML) laws and regulations.

 Developed both Technical functional specifications/Design Document through

meetings with Business Analysts, Data modelers, Downstream users, and BAU team.

 Testing Financial DataMart’s and Data warehouse built on Teradata FSLDM.

 Perform Functional, Regression, Unit, Integration, Performance, Sanity, and Usability

testing from the end user’s perspective in all aspects of the product to ensure proper

functionality and data quality.

 Regression test suites were identified, and automated scripts were returned for the

suites as required for better performance.

 Established continuous integration (CI) practices and standards for the product.

Execution of test cases in JIRA & timely updates of status to the client, and ensuring

successful delivery