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Architect - Cloud Data and Analytics Engineer
Carl Zeiss
posted 11d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 10 - 14 Years of Professional experience working in a Data Engineering, Data Science, or Data Analyst role.
- Strong experience in advanced data-modelling with Python/PySpark, Apache Spark, Synapse or Databricks
- Distinguished capabilities in ETL / ELT development and deployment of data flows
- Have deep knowledge of the application from snowflake or relational data architecture or paradigms.
- A deep understanding of modern software development practices such as loud, etc.CI/CD, GIT, DevOps
- A background in cloud technologies (Azure, AWS, Google C) and how to utilize them with real use-cases. • Ability to understand business requirements, translate them into functional and non-functional areas, and define nonfunctional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.
- Experience in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. • Understanding of modern BI Tools (e.g., Power BI, Tableau or Qlik) • Fluent English, German skills a plus
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
Within country
Day Shift
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