AWS Data Engineer

Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
Advanced skills in data model design and SQL development experience in RDBMS databases such as DB2, Oracle, Teradata
Extensive knowledge of coding and scripting languages, SQL, Python, etc.
Strong knowledge in ETL/ELT processes and tools. Informatica tech stack experience is a big plus
Experience implementing metadata solutions for configurable codebase
Ability to solve business problems by designing and building reports and queries, enhancing the ETL and databases, or identifying root cause issues
Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
Hands on 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
Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
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
AWS Solutions Architect or AWS Developer or AWS Big Data Specialty Certification preferred