(Senior) Data Engineer with Data Analytics (m/f/x)
Neckarsulm, DE
Schwarz Gruppe
Erfahren Sie, wie die Unternehmen der Schwarz Gruppe innovative Lösungen für Produktion, Handel, Recycling und Digitalisierung entwickeln.What you´ll do
- Work in a cross-functional product team to design and implement data centered features for Europe’s largest Ad Network
- Help to scale our data stores, data pipelines and ETLs handling terabytes of one of the largest retail companies
- Design and implement effi cient data processing workfl ows
- Continue to develop our custom data processing pipeline and continuously search for ways to improve our technology stack along our increasing scale
- Develop and standardize a product for measuring the incremental impact of advertising campaigns
- Design and deliver market-leading reporting solutions
- Leverage Business Intelligence tools to provide internal business insights, supporting strategic decision-making and driving product development initiatives
- Extend our reporting platform for external customers and internal stakeholders to measure advertising performance
- You will work in a fully remote setup but you will meet your colleagues in person in the company and engineering specific onsite events
What you’ll bring along
- 5+ years of professional experience working on data-intensive applications
- Fluency with Python and profi cient in SQL
- Experience with developing scalable data pipelines with Apache Spark
- Experience with data visualization tools (e.g., Looker, Tableau, Microstrategy)
- Familiarity with statistical techniques and A/B testing methodologies
- Good understanding of effi cient algorithms and know-how to analyze them
- Curiosity about how databases and other data processing tools work internally
- Ability to write testable and maintainable code that scales
- Ability to present fi ndings in a clear, concise manner to both technical and non-technical stakeholders
- Familiarity with git
- Excellent communication skills and a team-player attitude
Great if you also have
- Experience with Kubernetes
- Experience with Google Cloud Platform
- Experience with Snowfl ake, Big Query, Databricks and DataProc
- Knowledge of columnar databases and fi le formats like Apache Parquet
- Knowledge of "Big Data" technologies like Delta Lake
- Experience with workfl ow management solutions like Apache Airfl ow
- Knowledge of Datafl ow / Apache Beam
We look forward to receiving your application.
Schwarz Dienstleistung KG · Larissa Blümich · Reference no. 44623
Stiftsbergstraße 1 · 74172 Neckarsulm, Germany
www.careers.it.schwarz
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Big Data BigQuery Business Intelligence Data Analytics Databricks Data pipelines Dataproc Data visualization Engineering ETL GCP Git Google Cloud Kubernetes Looker Parquet Pipelines Python Spark SQL Statistics Tableau Testing
Perks/benefits: Team events
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