Data Engineer

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were doing it with energy curiosity and sheer dedication always learning from unique perspectives of those around us expanding our thinking growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

Data Engineer

YOUR TASKS AND RESPONSIBILITIES:

Data Analysis and Synthesis

• Conduct data profiling and analyze source systems to ensure data quality.
• Present clear insights and findings to colleagues to facilitate effective data usage.

Data Development Process

• Design build and test complex or large-scale data products.
• Collaborate with teams to deliver comprehensive data integration services.

Data Integration Design

• Select and implement appropriate technologies to create resilient scalable and future-proof data solutions and integration pipelines.

Data Modelling

• Develop relevant data models across various subject areas and articulate their purposes.
• Understand and apply industry-recognized data modeling patterns and standards.
• Compare and align different data models to ensure consistency.

Metadata Management

• Design and manage an effective metadata repository and recommend changes to existing repositories.
• Familiarize yourself with various tools for managing metadata.
• Provide guidance and support to less experienced team members.

Problem Resolution

• Address issues in databases data processes and data products as they arise.
• Monitor services identify trends and initiate actions to resolve problems.
• Determine appropriate remedies and assist with their implementation and preventive measures.

Programming and Build

• Utilize established standards and tools to design code test and document moderate-to-complex programs and scripts based on specifications.
• Collaborate with team members to review specifications and ensure alignment.

Technical Understanding

• Grasp core technical concepts related to data engineering and apply them with guidance.

Testing

• Review requirements and specifications and define test conditions.
• Identify issues and risks associated with work and analyze test activities and results.

WHO YOU ARE:

Required:

• Bachelors degree in Computer Science Data Science or a related field.
• 5 years of experience in data engineering or related roles with a solid understanding of data integration and modelling.
• Proficiency in programming languages such as Python SQL and experience with data processing frameworks (e.g. Apache Spark Hadoop).
• Familiarity with data warehousing solutions and ETL (Extract Transform Load) processes.
• Experience with cloud data platforms (e.g. AWS Azure Google Cloud) and data storage solutions (e.g. relational databases NoSQL databases).
• Strong analytical skills and the ability to present complex data insights clearly to stakeholders.
• Excellent problem-solving abilities and a proactive approach to identifying and resolving issues.

Preferred Qualifications:

• Experience with data visualization tools (e.g. MicroStrategy Tellius) and business intelligence practices.
• Knowledge of data governance frameworks and best practices.
• Familiarity with Agile methodologies and project management tools.

Ever feel burnt out by bureaucracy Us too. Thats why were changing the way we work- for higher productivity faster innovation and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here

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