Cloud Data Engineer: Data Pipelines & Cloud Warehouse Pro

OSRAM Opto Semiconductors (Malaysia) Sdn. Bhd., Penang; Kulim; In loco; MYR 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Problem-solving

Communication

Agile methodologies

Formazione

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

Strumenti

Snowflake

Databricks

SQL

Python

PowerBI

Azure Data Factory

Apache NiFi

Theobald Universal Xtract

dbt

Apache Airflow

Descrizione del lavoro

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