J Sr Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Data Assets Analytics & AI team at Bayer Consumer Health focuses on driving digital
transformation and innovation by creating best-in-class analytical solutions that enable data-
driven decision making and performance optimization for all Bayer Consumer Health business
functions.
You will be part of a data & analytics squad team and will be responsible for building data assets
and data products. You partner with business stakeholders data architects data scientists
analytics leads as well as other engineers. You will build data pipelines data models and
provision data for Analytics products and data scientists. You will also make sure that proper
development processes are followed within the team enhance implementation frameworks and
guide other team members in building scalable secure and well performing data products. If
you are interested in joining a young and dynamic team driving the digital transformation of
Bayer Consumer Health we would like to hear from you.
Key Tasks & Responsibilities:
Implement data pipelines that integrate data from different sources to develop globally
harmonized data models and KPI calculations
Contribute to define data management and data quality standards. Ensure that data is
well-managed to build stable reusable and quality assured data assets.
Collaborate with other IT functions (enabling functions data asset teams analytics
teams platform product managers & integration architects) to ensure the
aforementioned activities are executed effectively.
Ensure that data products adhere to the data protections standards.
Continuously enhance implementation frameworks based on the needs of the analytics
products in your responsibility.
Guide other data engineers in your team (internal or external engineers) and ensure that
all engineers apply same design principles and assure code quality. Break down bigger
work packages into manageable tasks.
Together with the assigned data architect ensure that cost and time estimations are
accurate quality of delivery is assured and deliverables are properly tested
documented and handed over to the operations team
Qualifications & Competencies (education skills experience):
Bachelor/Masters degree in Computer Science Engineering or a related field.
5 years of working experience in the field of Data & Analytics preferably in the CPG
industry
5 years of proficient coding experience with Python for data engineering including SQL
and PySpark (DataFrame API Spark SQL MLlib) with hands-on experience in various
transformation and innovation by creating best-in-class analytical solutions that enable data-
driven decision making and performance optimization for all Bayer Consumer Health business
functions.
You will be part of a data & analytics squad team and will be responsible for building data assets
and data products. You partner with business stakeholders data architects data scientists
analytics leads as well as other engineers. You will build data pipelines data models and
provision data for Analytics products and data scientists. You will also make sure that proper
development processes are followed within the team enhance implementation frameworks and
guide other team members in building scalable secure and well performing data products. If
you are interested in joining a young and dynamic team driving the digital transformation of
Bayer Consumer Health we would like to hear from you.
Key Tasks & Responsibilities:
Implement data pipelines that integrate data from different sources to develop globally
harmonized data models and KPI calculations
Contribute to define data management and data quality standards. Ensure that data is
well-managed to build stable reusable and quality assured data assets.
Collaborate with other IT functions (enabling functions data asset teams analytics
teams platform product managers & integration architects) to ensure the
aforementioned activities are executed effectively.
Ensure that data products adhere to the data protections standards.
Continuously enhance implementation frameworks based on the needs of the analytics
products in your responsibility.
Guide other data engineers in your team (internal or external engineers) and ensure that
all engineers apply same design principles and assure code quality. Break down bigger
work packages into manageable tasks.
Together with the assigned data architect ensure that cost and time estimations are
accurate quality of delivery is assured and deliverables are properly tested
documented and handed over to the operations team
Qualifications & Competencies (education skills experience):
Bachelor/Masters degree in Computer Science Engineering or a related field.
5 years of working experience in the field of Data & Analytics preferably in the CPG
industry
5 years of proficient coding experience with Python for data engineering including SQL
and PySpark (DataFrame API Spark SQL MLlib) with hands-on experience in various
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databases (SQL/NoSQL) key libraries (e.g. pandas SQLAlchemy) parallel processing
and advanced data transformation and performance optimization techniques.
Excellent data engineering & technology knowledge (Azure Data Lake Gen2 Azure
Synapse and Databricks as well as data management knowhow (data cataloguing data
quality management)
Solid understanding of data modeling ETL processing and lakehouse concepts.
Knowledge of CI/CD processes and tools (GitHub Azure DevOps Pipelines)
Profound data content knowledge (Supply Chain Logistics Quality Management) and
Product Supply process knowhow
Experience in Agile methodologies (Scrum Kanban)
Strong problem solving and analytical skills. Excellent interpersonal and communication
skills active listening consulting challenging presentation skills.
Fluent in English both written & spoken intercultural awareness and willingness to
travel
and advanced data transformation and performance optimization techniques.
Excellent data engineering & technology knowledge (Azure Data Lake Gen2 Azure
Synapse and Databricks as well as data management knowhow (data cataloguing data
quality management)
Solid understanding of data modeling ETL processing and lakehouse concepts.
Knowledge of CI/CD processes and tools (GitHub Azure DevOps Pipelines)
Profound data content knowledge (Supply Chain Logistics Quality Management) and
Product Supply process knowhow
Experience in Agile methodologies (Scrum Kanban)
Strong problem solving and analytical skills. Excellent interpersonal and communication
skills active listening consulting challenging presentation skills.
Fluent in English both written & spoken intercultural awareness and willingness to
travel
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
