AWS Data Engineer
Capgemini
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. 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 #J-18808-Ljbffr
Vacancy posted 12 hours ago
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