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Technology Consulting-DP PMO Manager
KPMG India
posted 16d ago
Job Role Insights
Flexible timing
Key skills for the job
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:
- Bachelors 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
.
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:
- Bachelors 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.
Employment Type: Full Time, Permanent
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What people at KPMG India are saying
PMO Manager salary at KPMG India
reported by
12
employees
with 9-13
years exp.
₹11.5
L/yr - ₹34.2
L/yr
60%
more
than the average PMO Manager Salary in India
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What KPMG India employees are saying about work life
based on 5.1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
KPMG India Benefits
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