Description

Qualifications:

 • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience  • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises  • Programming experience with Python, Shell scripting and SQL  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.

 • Solid experience implementing solutions on AWS based data lakes.

 • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch  • Serverless application development using AWS Lambda  • Experience in AWS data lake/data warehouse/business analytics  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS  • Knowledge of ETL/ELT  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS  • Architect and implement CI/CD strategy for EDP  • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)  • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift  • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift  • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case  • AWS Solutions Architect or AWS Developer Certification preferred  • Good understanding of Lakehouse/data cloud architecture

Key Skills

Education

Bachelor's degree