Senior Data Engineer

Bayer; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Bayer is seeking a Senior Data Engineer in Bengaluru, India to profile data sources, design scalable data products, and drive data integration initiatives. You will work with Python/SQL/Java, Spark/Hadoop, and cloud platforms to deliver analytics-ready data assets.

The role requires 8+ years in data engineering, strong modeling skills, and experience with data warehousing and ETL. Collaborative, proactive problem-solving and stakeholder communication are essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 8+ years of experience in data engineering with strong data modeling and integration.
• 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.

Responsibilities

• Data Analysis and Synthesis: Undertake data profiling and source system analysis and present clear insights to colleagues to support end use of data.
• Data Development Process: Design, build and test data products that are complex or large-scale and build teams for integration services.
• Data Innovation: Understand the impact of emerging trends in data tools, analysis techniques and data usage.
• Data Integration Design: Select and implement technologies to deliver resilient, scalable, future-proofed data solutions.
• Data Modelling: Produce relevant data models across multiple subject areas and explain which models to use.
• Metadata Management: Design a metadata repository and understand tools for storing and working with metadata.

Skills

Strong analytics

Proactive problem-solving

Stakeholder communication

Cloud data platforms

Education

Bachelor’s/Master’s in CS/Data Science

Tools

Python

SQL

Java

Apache Spark

Hadoop

AWS

Azure

GCP

ETL tools

Job description

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.

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

https://www.bayer.com/enfstrategyfstrategy

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