Cloud Data Engineer

OSRAM Opto Semiconductors (Malaysia) Sdn. Bhd., Penang; Kulim; Presencial; MYR 120 000 - 180 000; Tempo integral

Resumo da oferta

ams OSRAM Group is seeking a skilled data engineer to strengthen our cloud data warehouse capabilities. You will work with data scientists, analysts and stakeholders to translate data needs into technical specifications and scalable data models.

Responsibilities include designing cloud-based data solutions with architects, building robust data pipelines, applying SQL and Python, and ensuring data security and governance across Snowflake/Databricks environments while collaborating across

Qualificações

• Bachelor’s degree in CS/SE or similar.
• 5+ years in cloud data warehouse environments.
• Experience in international teams.
• Data vault 2.0 or star schema experience.
• Knowledge of SCRUM/agile methodologies.
• Strong SQL and ETL skills.
• Experience with visualization and data integration tools.

Responsabilidades

• Translate data requirements into technical specifications and data models.
• Design and implement cloud-based data solutions with data architects.
• Share knowledge and best practices across the team.
• Build scalable data pipelines from diverse source systems.
• Apply business rules using SQL or Python.
• Secure data models with object and row level security.
• Document best practices and ensure adoption across the team.
• Address data integrity and design issues in the Cloud Data Warehouse.
• Communicate issues and solutions to stakeholders.
• Optimize data transfer cost and performance.
• Monitor and improve pipeline efficiency.

Conhecimentos

Problem-solving

Communication

Agile methodologies

Formação académica

Bachelor's degree in Computer Science/Software Engineering or similar

Ferramentas

Snowflake

Databricks

SQL

Python

PowerBI

Azure Data Factory

Apache NiFi

Theobald Universal Xtract

dbt

Apache Airflow

Descrição da oferta de emprego

Requisition ID24343-Posted09/24/2026

The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting‑edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on https://ams-osram.com

Your new responsibilities

• Work closely with data scientists, business analysts and other stakeholders to understand their data requirements and translate them into technical specifications and data models.
• Collaborate with data architects to design and implement cloud-based data solutions that align with business needs.
• Facilitate internal knowledge sharing to ensure team members are informed about the latest best practices.
• Implement scalable and robust data pipelines from various source systems.
• Apply business rules and transformations using SQL or Python.
• Secure data models applying object and row level security.
• Develop and document best practices and ensure they are effectively implemented across the team.
• Analyze and address issues related to data integrity, data design and both functional and technical aspects of the Cloud Data Warehouse.
• Communicate effectively about issues, solutions, and best practices with relevant stakeholders.
• Perform cost and performance-based optimization of data transfer processes.
• Continuously monitor and improve the efficiency and performance of data pipelines.

What we look for

• Bachelor’s degree and above in Computer Science, Software Engineering or similar.
• Minimum 5 years of related working experience with cloud data warehouse technologies, preferably Snowflake and/or Databricks.
• Experience working in international teams.
• Hands‑on experience in data warehouse modelling preferably with data vault 2.0 and/or star schema.
• Good understanding of agile methodologies like SCRUM.
• Problem‑solving attitude and excellent communication skills.
• In‑depth understanding of relational databases (SQL) and ETL (Extract, transform, load) frameworks.
• Experienced in data staging with SQL and Python, data visualization with tools such as PowerBI, data integration using Apache NiFi, Theobald Universal Xtract, and Azure Data Factory, as well as orchestrating data pipelines with dbt and Apache Airflow.
• Excellent organizational skills with the ability to communicate project goals and objectives, project status and deliverables with senior executives.
• Participate with the management team in developing a vision and strategic plan to guide the organization.