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Staff Cloud Data Engineer

Staff Cloud Data Engineer

OSRAM Opto Semiconductors (Malaysia) Sdn BhdMalaysia
9 jam yang lalu
Penerangan pekerjaan

Company description :

Sense the power of light

ams OSRAM is a global leader in innovative light and sensor solutions. "Sense the power of light" - our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the-art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.

Your new responsibilities

Job description :

  • 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.

Profile description :

  • 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.
  • Hands-on experience in data warehouse modelling preferably with data vault 2.0 and / or star schema.
  • Good understanding of agile methodologies like SCRUM.
  • 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.
  • Problem-solving attitude and excellent communication skills.
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