At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none is no longer a dream, but a real possibility. We're 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 you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's 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:
- Bachelor's or Master's 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.
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YOUR APPLICATION
Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.
Location: India : Karnataka : Bangalore
Division: Enabling Functions
Reference Code: 876670
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