Job Description
Summary
Looking for an exciting opportunity as an AWS Data Engineer Consultant at Deloitte South Asia LLP in Bengaluru? Join Deloitte’s leading Technology & Transformation practice and become a key contributor in designing, building, and maintaining scalable, cloud-based data pipelines, data lakes, and warehouses using AWS technologies. This role offers a chance to work on cutting-edge data engineering projects leveraging AWS Glue, Lambda, Redshift, Kinesis, and more. Ideal for professionals with 5+ years of hands-on experience in AWS data engineering, SQL, Python, and cloud-native tools. Propel your career forward with Deloitte — a global leader renowned for innovation, inclusion, and career growth.
Job Details at a Glance
| Job Title | AWS Data Engineer Consultant |
|---|---|
| Company | Deloitte South Asia LLP |
| Location | Bengaluru (Hybrid work model) |
| Experience Required | 5+ years in AWS Data Engineering |
| Education | Bachelor’s degree in Computer Science, Data Engineering or related |
| Employment Type | Full-Time |
| Shift | Day Shift |
| Key Technologies & Tools | AWS Glue, AWS Lambda, AWS Kinesis, AWS S3, Redshift, SQL, Python, Docker, Kubernetes |
| Job Requisition ID | 80700 |
| Travel | Occasional client site visits |
Key Responsibilities
- Design, develop, and maintain scalable and efficient data pipelines using AWS services like AWS Glue, AWS Lambda, AWS Kinesis, and AWS S3.
- Build and manage data warehouses and data lakes on AWS platforms including AWS Redshift and Amazon S3.
- Implement data governance and quality practices to ensure high data integrity and reliability.
- Optimize data infrastructure for performance and cost-efficiency through continuous improvement.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust solutions.
- Stay updated with the latest AWS data engineering technologies and best practices to drive innovation.
- Assist in troubleshooting and resolving data-related technical challenges.
- Document data architecture, pipeline design, and operational processes to maintain clear communication across teams.
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
- Minimum 5+ years of professional experience with AWS data engineering services.
- Strong expertise in SQL and Python programming languages.
- Deep understanding of data warehousing and data lake architectures.
- Proven knowledge of data modeling and data architecture principles.
- Experience with AWS services: Glue, Lambda, Redshift, Kinesis, S3.
- Familiarity with cloud-native technologies such as Docker and Kubernetes.
- Excellent problem-solving and analytical skills.
- Ability to work independently as well as collaboratively within agile teams.
- Strong communication and interpersonal skills.
Preferred Qualifications
- AWS certifications such as AWS Certified Data Engineer or equivalent.
- Experience with data visualization tools like Tableau or Power BI.
- Knowledge of Infrastructure as Code (IaC) and automation tools.
- Exposure to machine learning pipelines or big data technologies.
- Understanding of security best practices for cloud data environments.
Why Join Deloitte as an AWS Data Engineer Consultant?
- Work with a global leader in professional services, driving transformation through data and technology.
- Access continuous learning and development programs including Deloitte University and leadership centers.
- Thrive in a culture of inclusion, collaboration, and high performance.
- Engage in impactful projects that shape client businesses and communities.
- Benefit from hybrid working options and a supportive, flexible work environment.
Apply Now
Ready to make an impact as an AWS Data Engineer Consultant at Deloitte Bengaluru?
👉 Apply now on Deloitte’s official careers page
Take the next step in your data engineering career with Deloitte and help organizations unlock the power of their data with cloud innovation.