Lead AWS Data Engineer with 12+ Years exp -AWS,S3,Glue,Spark,Terraform,SQL,Lambda,Python,pyspark
Must Have Technical/Functional Skills
Client is looking for engineers with the following skills:
Strong Experience with AWS Services: S3, Lake Formation, Glue, EMR, EC2 Athena, Lambda, EventBridge, SNS, SQS
Strong Experience in SQL, Python and Spark for Data Engineering tasks
Expertise in Terraform
Experience in designing and implementing Data Pipeline on AWS using native and configurable AWS services
Excellent design and troubleshooting skills
Proficiency in Apache Spark for distributed data processing
Experience with Amazon Neptune DB for graph-based metadata management
Strong understanding of Data lake architecture, data governance and security best practices
Strengthen Entitlement capability
Launch self-serve data subscription and sharing of data products through Data Portal
Improve data discovery by displaying composite data products only, simplifying catalog organization, Low Latency Solutions
Roles & Responsibilities
Build, design and implement scalable data lake architecture using AWS S3 and LakeFormation
Build and optimize ETL Pipelines using AWS Glue, EMR and Spark
Implement Event-Driven workflows using EventBridge, SNS and SQS
Design and query datasets using Athena
Manage metadata and data lineage using Amazon Neptune DB
Expose APIs for data subscription and sharing using API Gateway and AWS Lambda
Automate infrastructure provisioning using Terraform and CloudFormation
Ensure data security and compliance by implementing robust IAM policies and access controls.
Develop and maintain a self-serve data portal using Angular and integrate it with backend services
Nice to have:
Experience with RestfulAPI
Generic Managerial Skills, If any
Strong Communication skills Experience in Leading Teams
Key Words: AWS, S3, Glue, Spark, Terraform, SQL, Lambda
