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235 Deloitte Jobs
Engineering- AWS Data Engineer
4-7 years
Bangalore / Bengaluru
1 vacancy
Engineering- AWS Data Engineer
Deloitte
posted 16hr ago
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Flexible timing
Key skills for the job
Job Description
As a Senior Consultant in our Consulting team, you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll:
We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS servcies. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages.
Key Responsibilities:
1. Design and implement scalable, high-performance data pipelines using AWS services
2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda
3. Build and maintain data lakes using S3 and Delta Lake
4. Create and manage analytics solutions using Amazon Athena and Redshift
5. Design and implement database solutions using Aurora, RDS, and DynamoDB
6. Develop serverless workflows using AWS Step Functions
7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL
8. Ensure data quality, security, and compliance with industry standards
9. Collaborate with data scientists and analysts to support their data needs
10. Optimize data architecture for performance and cost-efficiency
11. Troubleshoot and resolve data pipeline and infrastructure issues
Required Qualifications:
1. bachelor s degree in computer science, Information Technology, or related field
2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS
3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3
4. Experience with data lake technologies, particularly Delta Lake
5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL
6. Proficiency in Python and PySpark programming
7. Strong SQL skills and experience with PostgreSQL
8. Experience with AWS Step Functions for workflow orchestration
9. Familiarity with data modeling and schema design
10. Knowledge of data security and compliance requirements
11. Excellent problem-solving and analytical skills
12. Strong communication and collaboration abilities
Preferred Qualifications:
1. AWS Certified Data Analytics - Specialty
2. AWS Certified Solutions Architect - Associate or Professional
3. Experience with real-time data processing using Kinesis or Kafka
4. Knowledge of machine learning workflows on AWS (e.g., SageMaker)
5. Familiarity with containerization technologies (Docker, Kubernetes)
6. Experience with CI/CD pipelines and infrastructure-as-code (e.g., CloudFormation, Terraform)
Technical Skills:
- AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB, Step Functions
- Big Data: Hadoop, Spark, Delta Lake
- Programming: Python, PySpark
- Databases: SQL, PostgreSQL, NoSQL
- Data Warehousing and Analytics
- ETL/ELT processes
- Data Lake architectures
- Version control: Git
- Agile methodologies
Employment Type: Full Time, Permanent
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People are getting interviews at Deloitte through
People are getting interviews through
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Job Portal
Campus Placement
Referral
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Recruitment Consultant
Walkin
33%
23%
13%
9%
3%
2%
17% candidates got the interview through other sources.
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What people at Deloitte are saying
Rating based on 2 AWS Data Engineer
reviews
Anonymous · IT Consulting
in Pune
Likes
Opportunity to work with different verticals and projects
Dislikes
Promotion and appreciation was very hard to get
Read 2 reviewsAWS Data Engineer salary at Deloitte
reported by
10
employees
with 3-6
years exp.
₹9.8
L/yr - ₹24
L/yr
65%
more
than the average AWS Data Engineer Salary in India
View more details
What Deloitte employees are saying about work life
based on 16.8k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Deloitte Benefits
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