AWS Data Engineer

2 months ago

hyderabad, India Huquo Full time

Job Description :


- 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

(ref:hirist.tech)

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