Technology Consulting-DP PMO Manager

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Job Description:

We are seeking a highly skilled Senior Data AWS Solutions Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing data solutions on AWS, leveraging cloud services to drive business outcomes. Candidate should have worked hands-on on implementing solutions like Data Lake or must have been involved in Technical architecture reviews and discussions. Prior knowledge of Automobile or Banking sector would be preferrable.

Key Responsibilities:

- Design, develop, and implement scalable data architectures on AWS.

- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

- Optimize data storage and processing using AWS services like S3, Glue, RDS, and Lambda.

- Ensure data security, compliance, and best practices in data management.

- Troubleshoot and resolve data-related issues and performance bottlenecks.

- Mentor junior engineers and contribute to team knowledge sharing.

- Stay updated with the latest AWS services and industry trends to recommend improvements.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- 8+ years of experience in data engineering or solutions architecture, with a focus on AWS.

- Proficient in AWS data services, ETL tools, and data modeling techniques.

- Strong programming skills in Python, Pyspark Java, or similar languages.

- Experience with data warehousing and big data technologies (e.g., Hadoop, Spark).

- Excellent problem-solving, consulting and analytical skills.

- Strong communication and collaboration abilities.

- Stakeholder Management and leading teams.

Preferred Qualifications:

- AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).

- Experience with containerization (Docker, Kubernetes).

- Knowledge of machine learning and data science principles.

Join us to leverage your expertise in AWS and data engineering to drive innovative solutions that empower our business.

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Job Description:

We are seeking a highly skilled Senior Data AWS Solutions Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing data solutions on AWS, leveraging cloud services to drive business outcomes. Candidate should have worked hands-on on implementing solutions like Data Lake or must have been involved in Technical architecture reviews and discussions. Prior knowledge of Automobile or Banking sector would be preferrable.

Key Responsibilities:

- Design, develop, and implement scalable data architectures on AWS.

- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

- Optimize data storage and processing using AWS services like S3, Glue, RDS, and Lambda.

- Ensure data security, compliance, and best practices in data management.

- Troubleshoot and resolve data-related issues and performance bottlenecks.

- Mentor junior engineers and contribute to team knowledge sharing.

- Stay updated with the latest AWS services and industry trends to recommend improvements.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- 8+ years of experience in data engineering or solutions architecture, with a focus on AWS.

- Proficient in AWS data services, ETL tools, and data modeling techniques.

- Strong programming skills in Python, Pyspark Java, or similar languages.

- Experience with data warehousing and big data technologies (e.g., Hadoop, Spark).

- Excellent problem-solving, consulting and analytical skills.

- Strong communication and collaboration abilities.

- Stakeholder Management and leading teams.

Preferred Qualifications:

- AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).

- Experience with containerization (Docker, Kubernetes).

- Knowledge of machine learning and data science principles.

Join us to leverage your expertise in AWS and data engineering to drive innovative solutions that empower our business.

B.Tech/M.Tech/MCA/M.Sc