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Senior Data Engineer - Job Opportunity at Bayer

Bengaluru, India
Full-time
Senior
Posted: March 24, 2025
On-site
USD 120,000 - 160,000 per year based on location and experience level

Benefits

Dynamic Shared Ownership work model promoting innovation and productivity
Collaborative and inclusive work environment
Professional development and mentorship opportunities
Global career advancement potential within a Fortune 500 company

Key Responsibilities

Lead technical architecture design and implementation for enterprise data solutions
Drive technology evaluation and adoption of cutting-edge tools and frameworks
Mentor junior engineers and build technical capabilities across teams
Design and implement scalable data pipelines and ML infrastructure
Collaborate with cross-functional stakeholders to deliver business value
Establish and improve engineering processes and methodologies

Requirements

Education

Bachelor's degree in Computer Science, Software Engineering, or related field

Experience

8+ years of professional software engineering experience

Required Skills

Data architecture and modeling Cloud technologies and services (5+ years) Stream processing (Kafka, Spark) Distributed databases (Apache Cassandra) SQL and NoSQL databases Programming (Scala, Go) Machine learning infrastructure Big data technologies (Hadoop, Spark) Strong interpersonal skills
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Sauge AI Market Intelligence

Industry Trends

Increasing convergence of data engineering and ML operations driving demand for hybrid skill sets Growing emphasis on real-time data processing and streaming architectures in agricultural tech Rising importance of sustainable agriculture driving need for sophisticated data solutions

Role Significance

Likely leading a team of 3-5 junior engineers within a larger data organization of 20-30 professionals
Senior individual contributor role with significant technical leadership responsibilities and strategic influence

Key Projects

Enterprise-scale data pipeline modernization Machine learning infrastructure development Real-time analytics platform implementation Data architecture standardization initiatives

Success Factors

Strong balance of technical expertise and leadership skills Ability to bridge business requirements with technical solutions Experience with agricultural or life sciences domain Track record of mentoring and growing technical teams

Market Demand

Very high demand, particularly in agricultural technology sector where data engineering intersects with life sciences

Important Skills

Critical Skills

Data architecture expertise - essential for designing scalable solutions Stream processing experience - critical for real-time agricultural data processing Cloud platform knowledge - fundamental for modern infrastructure development

Beneficial Skills

Agricultural domain knowledge Open source contribution experience Kubernetes and PaaS expertise

Unique Aspects

Rare combination of agricultural science and advanced data engineering
Opportunity to work on global-scale sustainability challenges
Strong emphasis on mentorship and knowledge sharing

Career Growth

2-3 years in role before advancement opportunity, depending on project success and organizational growth

Potential Next Roles

Lead Data Engineer Data Architecture Manager Technical Product Manager Engineering Director

Company Overview

Bayer

Global life sciences company with strong focus on agricultural technology and healthcare solutions

Industry leader in agricultural science with significant investment in digital transformation
Major technology hub in Bangalore with significant R&D operations
Innovation-focused environment with emphasis on collaboration and sustainable impact
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