The position is part of an ongoing research and development project at the Innovation. The project investigates the possibility of using fast load flow solvers and optimization techniques to find topological actions.You will have the opportunity to be part of an innovative, exciting project and make a significant contribution to further development with your ideas and suggestions.
The position is part of an ongoing research and development project at the Innovation. The project investigates the possibility of using fast load flow solvers and optimization techniques to find topological actions.You will have the opportunity to be part of an innovative, exciting project and make a significant contribution to further development with your ideas and suggestions.
In the data warehouse team, we are looking for a senior engineering coordinator. The scope is about coordination of new business projects and resolution of production issues. The person will be integrated in a small team and will be in contact with Business stakeholders, onshore and offshore teams. He or she has the responsibility of a correct, standardized development delivery and operational follow-up within his/her business context. In the DWH team, we strive to combine business concepts and develop well reflected systems to respond a maximum to our business clients’ reporting needs.
In the data warehouse team, we are looking for a senior engineering coordinator. The scope is about coordination of new business projects and resolution of production issues. The person will be integrated in a small team and will be in contact with Business stakeholders, onshore and offshore teams. He or she has the responsibility of a correct, standardized development delivery and operational follow-up within his/her business context. In the DWH team, we strive to combine business concepts and develop well reflected systems to respond a maximum to our business clients’ reporting needs.
With an ever increasing importance of data analytics, the need to ingest data in a fast, qualitative and more and more real-time way, increases equally. Today around 100 data engineers (majority externals) are designing, developing, maintaining and operating this logic. The technologies used are mainly Teradata (datawarehouse), Cloudera (DataLake), Informatica and home made tools (ETL), Kafka/Flink/Couchbase (real-time ingestion), PowerBI/Microstrategy (reporting tools), Gitlab/Jenkins (CI/CD), Spark/PySpark (big data processing),… Recent initiatives around efficiency revealed room for improvement in terms of quality of code, time to market, number of mandays to implement requests.
With an ever increasing importance of data analytics, the need to ingest data in a fast, qualitative and more and more real-time way, increases equally. Today around 100 data engineers (majority externals) are designing, developing, maintaining and operating this logic. The technologies used are mainly Teradata (datawarehouse), Cloudera (DataLake), Informatica and home made tools (ETL), Kafka/Flink/Couchbase (real-time ingestion), PowerBI/Microstrategy (reporting tools), Gitlab/Jenkins (CI/CD), Spark/PySpark (big data processing),… Recent initiatives around efficiency revealed room for improvement in terms of quality of code, time to market, number of mandays to implement requests.
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