Data Engineer

Bayer AG; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Bayer AG in Bengaluru, India seeks a data engineer to profile data, build large-scale data products, and enable data integration across platforms. You will develop data models, manage metadata, and ensure data quality while collaborating with cross-functional teams.

Required 5+ years in data engineering, with Python, SQL, and frameworks like Spark/Hadoop; familiarity with data warehousing, ETL, and cloud databases. The role emphasizes proactive issue resolution and scalable data solutions.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering or related roles, with data integration and modelling.
• Proficiency in Python, SQL, and data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data warehousing and ETL processes.
• Experience with cloud data platforms (AWS, Azure, Google Cloud) and databases.

Responsibilities

• Conduct data profiling and analyze source systems to ensure data quality.
• Present clear insights and findings to colleagues to facilitate effective data usage.
• Design, build, and test complex or large-scale data products.
• Collaborate with teams to deliver comprehensive data integration services.
• Select and implement technologies to create scalable data solutions and pipelines.
• Develop data models across subject areas and articulate purposes.
• Understand and apply data modeling patterns and standards.
• Design and manage metadata repositories and guide team members.
• Address issues in databases, data processes, and data products; monitor and resolve problems.
• Use standards and tools to design, code, test, and document programs and scripts.

Skills

Python

SQL

Apache Spark

Hadoop

Data integration

Data modeling

ETL

Cloud platforms

Data warehousing

Data visualization

Analytical thinking

Agile practices

Education

Bachelor’s degree in Computer Science or Data Science

Tools

MicroStrategy

Tellius

Job description

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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.

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.
• 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:

• Bachelor’s 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. That\’s why we\’re 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

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.