Cloud Data Engineer (d/m/f)
At a glance
Mid-level Data Engineering role at ams OSRAM. Carnaxide.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Turn data needs from scientists, analysts and stakeholders into technical plans and data models
- Build cloud data solutions with architects, then create pipelines that bring in data from varied systems
- Apply business rules with SQL or Python and protect models through object-level and row-level access controls
- Investigate warehouse integrity, design and functional issues, and share workable guidance with the team
- Tune data transfers and pipelines for cost and speed, while monitoring their ongoing performance
What you bring
- A relevant bachelor’s degree or higher in computer science, software engineering or a comparable area
- At least five years working with cloud data warehouses, with Snowflake or Databricks preferred
- Practical data warehouse modeling experience, plus strong knowledge of SQL databases and ETL methods
- English fluency for work with international teams and stakeholders
Who this fits
This role suits an experienced cloud data engineer who can collaborate with data scientists, analysts, architects and other stakeholders. You’ll need to communicate clearly about project progress, issues and solutions, and share practices with teammates.
From the employer
Sense the power of light
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
Who we are looking 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
- 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
Please contact Daria Berezova for further information via DARIA.BEREZOVA@AMS-OSRAM.COM or +49 (941) 8501571.
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