Experience: 5 to 8 years
Location: Bengaluru, Gurgaon, Pune
Job code: 101514
Posted on: May 25, 2026
About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary:
We are seeking a highly skilled and motivated AWS Data Engineer to join our growing data engineering team. The ideal candidate will possess strong expertise in building scalable data pipelines, optimizing large-scale data processing frameworks, and leveraging AWS cloud technologies to create efficient and reliable data solutions.
The role demands hands-on experience with PySpark, Python, AWS services, and modern software engineering best practices including code refactoring, testing, and debugging complex systems.
Key Responsibilities:
- Design, develop, and maintain scalable and reliable data pipelines and data assets.
- Develop robust ETL/ELT solutions using PySpark, Python, and AWS services.
- Optimize Spark SQL and PySpark jobs for performance, scalability, and efficiency.
- Build and manage cloud-native data engineering solutions on AWS.
- Work extensively with AWS services including S3, EC2, Lambda, Redshift, CloudFormation, and related technologies.
- Refactor and modernize legacy codebases to improve readability, maintainability, and performance.
- Implement Unit Testing and Test-Driven Development (TDD) practices.
- Troubleshoot and resolve complex bugs related to performance, concurrency, and application logic.
- Collaborate with cross-functional teams including architects, analysts, and business stakeholders.
- Ensure adherence to coding standards, CI/CD practices, and version control processes.
- Utilize Git repositories and JFrog Artifactory for source code and artifact management.
Role Requirements and Qualifications:
- 5+ years of hands-on experience in Data Engineering.
- Strong programming expertise in PySpark, Python, and Boto3.
- Experience with Python frameworks and libraries following Python best practices.
- Strong understanding of Spark SQL optimization and distributed data processing concepts.
- Solid experience with AWS cloud ecosystem and architecture.
- Hands-on experience with S3, EC2, Lambda, Redshift, CloudFormation, and other AWS services.
- Experience with Git-based version control systems and JFrog Artifactory.
- Strong debugging, analytical, and problem-solving skills.
- Experience in code refactoring, unit testing, and TDD methodologies.
- Good understanding of CI/CD pipelines and agile development methodologies.
- Experience working in enterprise-scale cloud data platforms.
- Knowledge of DevOps and Infrastructure-as-Code concepts.
- AWS Certification is a plus.
- Strong communication and stakeholder management skills.
Why Join Us:
- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
- Competitive compensation & benefits, ESOPs and international assignments.
- Supportive environment with healthy work-life balance and a focus on employee well-being.
- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
