Senior 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.

Senior Data Engineer

YOUR TASKS AND RESPONSIBILITIES:

Data Analysis and Synthesis

• Undertake data profiling and source system analysis
• Present clear insights to colleagues to support the end use of the data

Data Development Process

• Design build and test data products that are complex or large scale
• Build teams to complete data integration services

Data Innovation

• Understand the impact on the organization of emerging trends in data tools analysis techniques and data usage

Data Integration Design

• Select and implement the appropriate technologies to deliver resilient scalable and future-proofed data solutions and integration pipelines

Data Modelling

• 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

Metadata Management

• 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

Problem Resolution

• 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

Programming and Build

• 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

Technical Understanding

• Understand the core technical concepts related to the role and apply them with guidance

Testing

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

WHO YOU ARE:

Required:

• Bachelors or Masters degree in Computer Science Data Science or a related field.
• 8 years of experience in data engineering or related roles with a strong understanding of data integration and modeling.
• Proficiency in programming languages such as Python SQL or Java 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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