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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.