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AceNet

4.4

AWS Data Engineer

India
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.

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