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Senior Data Engineer

Bayer

On-site
Bangalore, Karnataka
Full-time
Senior
8+ yrs
Salary not listedPosted 3w ago

Real job — pulled straight from Bayer’s careers page · Verified July 26, 2026 · No reposts.

Job description

Bayer is hiring a Senior Data Engineer — a full-time, based in Bangalore, Karnataka role. Apply directly on Bayer's careers page below.

Senior Data Engineer

Location: Bangalore,Karnataka,India

Department: Information Technology

 

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 does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HRSUPPORT_INDIA@BAYER.COM.

  
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   
 
 
Contact Us
 
+ 022-25311234

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Frequently asked questions

What skills are required for Senior Data Engineer at Bayer?

The required skills for Senior Data Engineer at Bayer include: Python, SQL, Java, Spark, Hadoop, ETL, AWS, Azure, GCP, NoSQL, Agile.

What is the seniority level for Senior Data Engineer at Bayer?

Senior Data Engineer at Bayer is a Senior level position.

How do I apply for Senior Data Engineer at Bayer?

You can view the full description and apply for Senior Data Engineer at Bayer on EchoJobs: https://echojobs.io/job/bayer-senior-data-engineer-d6eqj.