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 preferredRequirements:⢠5+ years of experience as Data engineer ⢠Experience developing business applications using SQL databases.⢠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.