Data Engineer

Experience implementing software applications supporting data lakes, data warehouses and data applications on AWS for large enterprisesProgramming experience with Python, Shell scripting and SQLSolid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. Candidates must have experience with AWS Step Functions.Solid experience implementing solutions on AWS based data lakes.Experience in AWS data lake/data warehouse/business analyticsExperience in system analysis, design, development, and implementation of data ingestion pipeline in AWSKnowledge of ETL/ELTEnd-to-end data solutions (ingest, storage, integration, processing, access) on AWSArchitect and implement CI/CD strategy for EDPImplement 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 RedshiftMigrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and RedshiftAWS Solutions Architect or AWS Developer Certification preferred

Requirements:

5+ Years of experience as Data application developerMUST have good experience with AWS Services - Glue, Lambda, Step Functions, SQS, DynamoDB, S3, Redshift.Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience