Staff Data Engineer

Bayer is a visionary company driven to solve the world’s toughest challenges. They are seeking a Staff Data Engineer to design and lead the implementation of data flows, optimize processes, and communicate effectively with both technical and non-technical stakeholders.

Responsibilities:

• Recognize opportunities to reuse existing data flows
• Lead the build of data streaming systems
• Optimize the code to ensure processes perform optimally
• Lead work on database management
• Communicate effectively with technical and non-technical stakeholders
• Support and host discussions within a multidisciplinary team, with potentially difficult dynamics
• Be an advocate for the team externally, and can manage differing perspectives
• 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 that are complex or large scale
• Build teams to complete data integration services
• Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage
• Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines
• Produce relevant data models across multiple subject areas
• Explain which models to use for which purpose
• Understand industry-recognized data modelling patterns and standards, and when to apply them
• Compare and align different data models
• Design an appropriate metadata repository and present changes to existing metadata repositories
• Understand a range of tools for storing and working with metadata
• Provide oversight and advice to more inexperienced members of the team
• Respond to problems in databases, data processes, data products and services as they occur
• Initiate actions, monitor services and identify trends to resolve problems
• Determine the appropriate remedy and assist with its implementation, and with preventative measures
• Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations
• Collaborate with others to review specifications where appropriate
• Understand the core technical concepts related to the role, and apply them with guidance
• Review requirements and specifications, and define test conditions
• Identify issues and risks associated with work
• Analyze and report test activities and results

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