Maintain & develop data platforms based on Microsoft Fabric for Business Intelligence & Databricks for real-time data analytics.
Design implement and maintain standardized production-grade data pipelines using modern data transformation processes and workflows for SAP MS Dynamics on-premise or cloud.
Develop an enterprise-scale cloud-based Data Lake for business intelligence solutions.
Translate business and customer needs into data collection preparation and processing requirements.
Optimize the performance of algorithms developed by Data Scientists.
General administration and monitoring of the data platforms.
Competencies to be demonstrated:
Working with structured & unstructured data.
Experienced in various database technologies (RDBMS OLAP Timeseries etc.)
Solid programming skills (Python SQL Scala is a plus).
Experience in Microsoft Fabric (incl. Warehouse Lakehouse Data Factory DataFlow Gen2 Semantic Model) and/or Databricks (Spark).
Proficient in PowerBI.
Experienced working with APIs.
Proficient in security best practices.
Data centered Azure know-how is a plus (Storage Networking Security Billing).
Education Experience and Languages:
Bachelor or Master degree in business informatics computer science or equal.
A background in software engineering (e.g. agile programming project organization) and experience with human centered design would be desirable.
Extensive experience in handling large data sets.
Experience working at least 8 years as a data engineer preferably in an industrial company.
Analytical problem-solving skills and the ability to assimilate complex information.
Programming experience in modern data-oriented languages (SQL Python).
Experience with Apache Spark and DevOps.
Proven ability to synthesize complex data advanced technical skills related to data modelling data mining database design and performance tuning.
English language proficiency.
Looking for Diversity Candidate.
Burckhardt Compression creates leading compression solutions for a sustainable energy future and the long-term success of its customers. The Group is the only global manufacturer that covers a full range of reciprocating compressor technologies and services. Since 1844 its passionate customer-oriented and solution-driven workforce has set the benchmark in the gas compression industry.
Required Experience:
IC
Main responsibilities:Maintain & develop data platforms based on Microsoft Fabric for Business Intelligence & Databricks for real-time data analytics.Design implement and maintain standardized production-grade data pipelines using modern data transformation processes and workflows for SAP MS Dynamic...
Main responsibilities:
Maintain & develop data platforms based on Microsoft Fabric for Business Intelligence & Databricks for real-time data analytics.
Design implement and maintain standardized production-grade data pipelines using modern data transformation processes and workflows for SAP MS Dynamics on-premise or cloud.
Develop an enterprise-scale cloud-based Data Lake for business intelligence solutions.
Translate business and customer needs into data collection preparation and processing requirements.
Optimize the performance of algorithms developed by Data Scientists.
General administration and monitoring of the data platforms.
Competencies to be demonstrated:
Working with structured & unstructured data.
Experienced in various database technologies (RDBMS OLAP Timeseries etc.)
Solid programming skills (Python SQL Scala is a plus).
Experience in Microsoft Fabric (incl. Warehouse Lakehouse Data Factory DataFlow Gen2 Semantic Model) and/or Databricks (Spark).
Proficient in PowerBI.
Experienced working with APIs.
Proficient in security best practices.
Data centered Azure know-how is a plus (Storage Networking Security Billing).
Education Experience and Languages:
Bachelor or Master degree in business informatics computer science or equal.
A background in software engineering (e.g. agile programming project organization) and experience with human centered design would be desirable.
Extensive experience in handling large data sets.
Experience working at least 8 years as a data engineer preferably in an industrial company.
Analytical problem-solving skills and the ability to assimilate complex information.
Programming experience in modern data-oriented languages (SQL Python).
Experience with Apache Spark and DevOps.
Proven ability to synthesize complex data advanced technical skills related to data modelling data mining database design and performance tuning.
English language proficiency.
Looking for Diversity Candidate.
Burckhardt Compression creates leading compression solutions for a sustainable energy future and the long-term success of its customers. The Group is the only global manufacturer that covers a full range of reciprocating compressor technologies and services. Since 1844 its passionate customer-oriented and solution-driven workforce has set the benchmark in the gas compression industry.