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AWS Data Engineer

4 months ago

gurugram, India HuQuo Consulting Pvt. Ltd. Full time

- Solid experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail

- Programming experience with Python, Shell scripting, and SQL

- Responsible for building, test, QA & UAT environments using Cloud Formation.

- Build & implement

- CI/CD pipelines for the EDP Platform using Cloud Formation and Jenkins

Good to Have :

- Implement high-velocity 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 end-to-end for Prudential's platforms

- Create detailed, comprehensive, and well-structured 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 high-scale data applications and services

- Participate in system design discussions

- Independently perform hands-on 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 cross-functional 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.


- The team takes responsibility for the quality of the work they produce instead of turning over some code to a separate and independent group for testing

- 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

(ref:hirist.tech)