Über
Design, development, and implementation of data pipelines and solutions using
PySpark ,
SQL , and related technologies. Collaboration:
Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions. Data Warehousing:
Design and implement data warehousing solutions, ensuring scalability, performance, and reliability. Continuous Learning:
Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform. Mentorship:
Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development. Must-Have Skills & Qualifications: Minimum 12+ years of overall experience in IT Industry. 8+ years of experience in data engineering, with a strong background in building large-scale data solutions. 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions) 1-2 years of experience in Microsoft Fabric Some exposure/experience in SAP constructs
Sprachkenntnisse
- English
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