Senior Data Engineer

Bayer is a company driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is a reality. They are seeking a Senior Data Engineer to implement data flows, support data streaming systems, and develop business intelligence reports, among other responsibilities.

Responsibilities:

• Delivers the designs set by more senior members of the data engineering community
• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Document source-to-target mappings
• Re-engineer manual data flows to enable scaling and repeatable use
• Support the build of data streaming systems
• Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally
• Develop business intelligence reports that can be reused
• Build accessible data for analysis
• Show an awareness of the need to translate technical concepts into non-technical language
• Understand what communication is required with internal and external stakeholders
• Undertake data profiling and source system analysis
• Present clear insights to colleagues to support the end use of the data
• Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both
• Create repeatable and reusable products
• Show an awareness of opportunities for innovation with new tools and uses of data
• Deliver data solutions and integration pipelines in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proof
• Explain the concepts and principles of data modeling
• Produce, maintain and update relevant data models for an organization's specific needs
• Reverse-engineer data models from a live system
• Work with metadata repositories to complete complex tasks such as data and systems integration impact analysis
• Maintain a repository to ensure information remains accurate and up to date
• Explain the types of problems in databases, data processes, data products and services
• Design, code, test, correct and document simple programs or scripts under the direction of others
• Understand the core technical concepts related to the role, and apply them with guidance
• Correctly execute test scripts under supervision
• Understand the role of testing and how it works

Requirements:

• Proficiency in programming language such as Python or Java
• Experience with Big Data technologies such as Hadoop, Spark, and Kafka
• Familiarity with ETL processes and tools
• Knowledge of SQL and NoSQL databases
• Strong understanding of relational databases
• Experience with data warehousing solutions
• Proficiency with cloud platforms
• Expertise in data modeling and design
• Experience in designing and building scalable data pipelines
• Experience with RESTful APIs and data integration
• Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified)
• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
• Strong analytical and communication skills
• Ability to work collaboratively in a team environment
• High level of accuracy and attention to detail