Aufgaben

Data Analyst
Description

1) Good and must to have Knowledge of Azure services. Data Factory, Databricks, ADLS, DevOps, Event Hub and their interrelationship etc.
2) Should have good knowledge of Python scripting (pandas and pyspark both)
2) Have basic understanding about Kafka or streaming data working knowledge.
3) DevOps knowledge using CI/CD pipeline implementation.
4) Good hands-on Power-BI and able to create reports and Dashboards with complex representations.
5) Have good communication skills



Overview
A highly motivated and technically proficient professional, capable of delivering solution on Data Engineering and Operations in Cloud platform. He or she must be skilled in developing all rituals for Data Engineering and operations including ELT, SQL & No-SQL storage, data pipelining, data vault modeling, data ingestion, monitoring, visualization etc.
Job Responsibilities
Data Engineer & Analyst:

Development, Enhancement, testing and release of Data Quality Framework.
Implementation of data vault model in terms of code.
Further development of method for data vault modelling.
Scripting and coding of API for to be on-boarded data sources.
Support in enhancements topics in general.
Next generation of Big Data architecture
(data platform etc.).
Develop and enhance end to end data pipeline up to visualization.
Interpret data to analyze results to a specific business problem or bottleneck that needs to be solved using statistical techniques.
Upgrade, maintain and test the infrastructure to ensure it can handle algorithms thought up by data scientists.
Ensure data efficiency and reliability.
Qualification
Mandatory:
Bachelor's /post graduate degree in Computer Science, Computer Engineering or Data Science, Data Engineering with strong knowledge in below technologies,
Pyspark, Scala, SQL.
Azure Data Engineering
Data factory,
WebApp Development
Databricks,
Tableau/PowerBI
ADLS
API development (Azure function etc.).
Design & implement Data vault solution.
Designing overall BigData solution in Azure.
Desired:
Work experience on Agile/SDLC process.
Experience in building Knowledge Base (KB)
Experience in taking over Knowledge Transfer
Open to work/explore new technology areas.
Automotive and Aviation domain is plus.

Qualifikationen

Data Analyst
Description

1) Good and must to have Knowledge of Azure services. Data Factory, Databricks, ADLS, DevOps, Event Hub and their interrelationship etc.
2) Should have good knowledge of Python scripting (pandas and pyspark both)
2) Have basic understanding about Kafka or streaming data working knowledge.
3) DevOps knowledge using CI/CD pipeline implementation.
4) Good hands-on Power-BI and able to create reports and Dashboards with complex representations.
5) Have good communication skills



Overview
A highly motivated and technically proficient professional, capable of delivering solution on Data Engineering and Operations in Cloud platform. He or she must be skilled in developing all rituals for Data Engineering and operations including ELT, SQL & No-SQL storage, data pipelining, data vault modeling, data ingestion, monitoring, visualization etc.
Job Responsibilities
Data Engineer & Analyst:

Development, Enhancement, testing and release of Data Quality Framework.
Implementation of data vault model in terms of code.
Further development of method for data vault modelling.
Scripting and coding of API for to be on-boarded data sources.
Support in enhancements topics in general.
Next generation of Big Data architecture
(data platform etc.).
Develop and enhance end to end data pipeline up to visualization.
Interpret data to analyze results to a specific business problem or bottleneck that needs to be solved using statistical techniques.
Upgrade, maintain and test the infrastructure to ensure it can handle algorithms thought up by data scientists.
Ensure data efficiency and reliability.
Qualification
Mandatory:
Bachelor's /post graduate degree in Computer Science, Computer Engineering or Data Science, Data Engineering with strong knowledge in below technologies,
Pyspark, Scala, SQL.
Azure Data Engineering
Data factory,
WebApp Development
Databricks,
Tableau/PowerBI
ADLS
API development (Azure function etc.).
Design & implement Data vault solution.
Designing overall BigData solution in Azure.
Desired:
Work experience on Agile/SDLC process.
Experience in building Knowledge Base (KB)
Experience in taking over Knowledge Transfer
Open to work/explore new technology areas.
Automotive and Aviation domain is plus.