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Deloitte
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
235 Deloitte Jobs
3-5 years
Bangalore / Bengaluru
1 vacancy
Engineering- AWS Data Engineer
Deloitte
posted 16hr ago
Flexible timing
Key skills for the job
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)
Employment Type: Full Time, Permanent
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