AWS Redshift Engineer

2 months ago


Remote, India Taggd Full time

Responsibilities :

- AWS Pipeline knowledge to develop ETL for data movement to Redshift, experience to map the source to target rules and fields.

- Strong in writing complex queries with nested joins and derived tables.

- Translating functional and technical requirement into detailed architecture and design

- Coding and testing complex system components

- Design, build, and maintain data pipelines

- Analyses, tests, and implements physical database design.

- Ensure data quality and integrity

- Documents environment and maintains current patches

- Monitor and optimize data performance

- Ensures data recovery, maintenance, data integrity, and space requirements for physical database are met through formulation and monitoring of policies, procedures, and standards relating to database management.

- Audits the current environments, provides capacity planning and best practices for the future production/development/test environments, which may include establishing new standards and procedures.

- Conducts performance assessment and tuning as related to the database system.

- Provides technical knowledge working with system administrators, technical managers, developers, and architects.

Must Have :

- Must have hands on experience of Amazon Redshift

- Core Knowledge on Integration and Architecture ability.

- Amazon AWS.

- Any from the given (AWS EC2, S3, VPC, VPN, AWS ECS, AWS Aurora, AWS RDS, AWS Route 53)

- S3 & DB is Must

Must Skills :

1. AWS Pipeline

2. Redshift

3. SQL

4. Data Pipelines

5. Amazon Redshift

6. Database Design

7. Performance Tuning

- Develop ETL for data movement to Redshift


- Map source to target rules and fields


- Write complex queries


- Translate requirements into architecture and design


- Code and test system components


- Maintain data pipelines


- Analyze and implement physical database design


- Ensure data quality and integrity


- Document environment and maintain patches


- Monitor and optimize data performance


- Ensure data recovery and maintenance


- Capacity planning and best practices


- Performance assessment and tuning


- Provide technical knowledge to team

(ref:hirist.tech)
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