Senior Data Engineer / Technical Lead - AWS Glue & Spark Optimization
Location: Remote
Experience: 8-12 years
About Cognizant
Cognizant is a leading global professional services company, helping organizations modernize technology, reimagine processes, and transform experiences. With deep expertise in cloud, data engineering, and AI, we empower enterprises to unlock value from their data and accelerate innovation.
Role Overview
We are seeking a highly skilled Senior Data Engineer / Technical Lead with strong expertise in AWS data services and Spark optimization .
In this role, you will design, optimize, and manage scalable data pipelines using AWS Glue, PySpark, and Amazon S3 , while driving DevOps practices and ensuring high-performance data processing solutions that power analytics and business insights.
Key Responsibilities
Data Engineering & Pipeline Development
Design and develop scalable ETL pipelines using AWS Glue, PySpark, and AWS Glue Studio
Automate data extraction, transformation, and loading processes for improved data accessibility and usability
Build and maintain efficient data models and transformation frameworks
Spark & Performance Optimization
Optimize Apache Spark and PySpark workloads for performance, scalability, and cost efficiency
Implement tuning strategies for large-scale distributed data processing
AWS Platform & Data Management
Manage AWS Glue Catalog to maintain structured and discoverable metadata
Oversee Amazon S3 storage solutions ensuring secure, scalable, and efficient data management
Implement best practices for data lifecycle management and storage optimization
DevOps & Automation
Apply AWS DevOps practices to streamline CI/CD, deployment, and operations
Enable automation for pipeline orchestration, monitoring, and releases
Ensure integration with enterprise systems and tools
Governance, Security & Compliance
Ensure adherence to data security, privacy, and compliance standards
Implement access controls, auditing, and governance policies across data platforms
Collaboration & Leadership
Provide technical guidance and mentorship to engineering teams
Foster a culture of collaboration, knowledge sharing, and continuous improvement
Partner with stakeholders to translate business needs into scalable technical solutions
Documentation & Quality
Maintain comprehensive documentation of data processes, pipelines, and architectures
Support transparency, troubleshooting, and long-term knowledge retention
Required Qualifications
Strong experience in AWS Glue (ETL, Studio, Catalog) and data pipeline development
Hands-on expertise in Apache Spark / PySpark optimization
Proficiency in Python, SQL, and data modeling concepts
Experience managing data storage in Amazon S3
Solid understanding of AWS DevOps practices and automation frameworks
Proven ability to build scalable, high-performance data solutions
Strong analytical and problem-solving skills
Preferred Qualifications
Experience with AWS Data Pipeline or modern orchestration frameworks
Familiarity with CI/CD and configuration management tools
Knowledge of data governance and regulatory compliance frameworks
Strong background in root cause analysis and defect management
Experience working in enterprise-scale, hybrid environments
Leadership & Professional Skills
Strong communication and stakeholder engagement capabilities
Ability to drive execution excellence and innovation
Demonstrated accountability and results orientation
Collaborative mindset with ability to build trust and influence teams
Adaptability to drive change and continuous improvement
Compensation
Base Salary Range: $120,000 - $135,000 per year
Final compensation will be based on experience, skills, and location
Eligible for performance-based bonuses and incentive compensation
Benefits
Cognizant offers a comprehensive benefits package designed to support your well-being and career growth:
Health & Wellness: Medical, dental, and vision insurance
Financial Security: 401(k) with company match, life and disability insurance
Time Off: Generous PTO, paid holidays, and parental leave
Learning & Development: Access to certifications, training programs, and career advancement opportunities
Flexible Work Model: Hybrid setup supporting work-life balance
Employee Programs: Wellness initiatives, employee resource groups, and recognition programs
Why Join Cognizant?
Work on modern cloud data platforms and large-scale data engineering initiatives
Collaborate with global clients and high-performing teams
Accelerate your career in a cloud-first, data-driven environment
Be part of a culture that values innovation, inclusion, and impact
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
