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AWS Data Engineer
1 week ago
- Programming experience with Python, Shell scripting, and SQL
- Responsible for building, test, QA & UAT environments using Cloud Formation.
- Build & implement
Good to Have :
- Implement highvelocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed
- Airflow, and AWS Managed Kafka (preferred)
- Solid experience building solutions on AWS data lake/data warehouse
- Analyze, design, Development , and implement data ingestion pipeline in AWS
- Knowledge of implementing ETL/ELT for data solutions end to end ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
- Perform the Peer Code Review and, perform code quality analysis, and associated tools endtoend for Prudential's platforms
- Create detailed, comprehensive, and wellstructured test cases that follow best practices and techniques
- Estimate, prioritize, plan & coordinate quality testing activities
- Understanding requirements, and data solutions (ingest, storage, integration, processing, access) on AWS
- Knowledge of implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model
- Knowledge of analyzing data using SQL Stored procedures
- Build automated data pipelines to ingest data from relational database systems, file system , and NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
- Build Automated data pipelines to develop test plans, execute manual and automated test cases, help to identify the root causes, and articulate defects clearly
- Recreate production issues to help determine the issue and verify any fixes
- Conducting End to End verification and validation for the entire application
- Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
- Using Git/bitbucket for efficient remote team working, storing framework, and developing test scripts
- Part of DevOps QA and AWS team focusing on building CI/CD pipeline
- Part of the release/build team and mainly worked on release management, CI/CD pipeline
- Deploy multiple instances by using cloud formation templates
Responsibilities :
- Designing, building, and maintaining efficient, reusable, and reliable code
- Ensure the best possible performance and quality of highscale data applications and services
- Participate in system design discussions
- Independently perform handson Development and unit testing of the applications
- Collaborate with the development team and build individual components into the enterprise data platform
- Work in a team environment with the product, QE/QA, and crossfunctional teams to deliver a project throughout the whole software development cycle.
- Responsible to identify and resolve any performance issues
- Keep up to date with new technology development and implementation
- Participate in code review to make sure standards and best practices are met
- Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress
- Software quality: The Agile developer is also responsible for the quality of the software he/she produces.
- Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts
- Understanding user needs: This is about interacting with users as necessary to clarify requirements
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