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Senior Data Engineer - Job Opportunity at Genesys

Chennai, India
Full-time
Senior
Posted: March 12, 2025
Hybrid
USD 80,000 - 120,000 annually for Chennai market, adjusted for senior level and multinational scope

Benefits

Competitive benefits package comparable to large tech companies
Independence and ownership in work impact
Flexible hybrid work arrangement
Professional development opportunities
Global collaboration environment

Key Responsibilities

Lead and design complex data pipeline architectures combining batch and real-time processing
Drive technical strategy and architectural decisions for enterprise data solutions
Partner with data architects to ensure long-term solution sustainability
Mentor and guide team members while establishing engineering best practices
Orchestrate cross-functional collaboration for data integration initiatives
Implement and optimize data quality monitoring systems

Requirements

Education

Bachelor's degree in computer science, data science OR Master's degree in computer science

Experience

5+ years of enterprise data engineering experience

Required Skills

Python SQL AWS (S3, Glue) Snowflake Airflow Spark Data modeling CI/CD Distributed data processing Agile methodologies Complex data pipeline design Communication skills
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Industry Trends

Increasing demand for real-time data processing capabilities in enterprise environments Growing emphasis on AI/ML integration in data pipelines requiring sophisticated data engineering Shift towards cloud-native data architectures with multi-cloud expertise requirements Rising importance of data governance and security in enterprise data strategies

Role Significance

Likely part of a 8-12 person data engineering team within a larger 30-40 person data & analytics organization
Senior individual contributor with technical leadership responsibilities, directly influencing enterprise data architecture decisions

Key Projects

Enterprise-wide data platform modernization initiatives Real-time data pipeline implementations Cross-functional data integration programs Data governance and quality framework implementation

Success Factors

Strong technical architecture skills combined with business acumen Ability to mentor and influence without direct authority Experience with enterprise-scale data challenges Proven track record in optimizing complex data workflows

Market Demand

Very High - Enterprise data engineering roles with real-time processing expertise are seeing sustained demand growth, particularly in global technology companies expanding their India operations

Important Skills

Critical Skills

Advanced data pipeline architecture skills for real-time processing Cloud platform expertise particularly in AWS and Snowflake Strong Python and SQL development capabilities Experience with distributed data processing systems

Beneficial Skills

Knowledge of AI/ML data requirements Experience with data governance frameworks Multi-cloud architecture expertise DevOps and automation skills

Unique Aspects

Opportunity to work on AI-powered experience orchestration platform
Exposure to diverse enterprise data sources and business domains
Balance of startup-like ownership with enterprise-scale challenges

Career Growth

2-3 years in role before advancement, depending on project impact and leadership demonstration

Potential Next Roles

Lead Data Engineer Data Architecture Manager Technical Product Manager - Data Platforms Principal Data Engineer

Company Overview

Genesys

Global leader in customer experience and contact center solutions with strong market presence in AI-powered customer experience orchestration

Well-established technology company with over 8,000 organization clients across 100+ countries
Significant technology hub in Chennai with strategic importance for global operations
Balance of enterprise stability with technology innovation, emphasizing independence and impact
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