Staff Cloud Data Engineer

ams OSRAM

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

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
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
Problem-solving attitude and excellent communication skills
Excellent organizational skills with the ability to communicate project goals and objectives, project status and deliverables
Fluent in English for communicating with global teams and stakeholders

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