Lead big data projects employing AWS and various programming languages to enhance data engineering, security, and ETL processes. Ensure adherence to project standards and timelines while fostering team collaboration and resource management.
Strong experience in programming languages of SAS, PL/SQL,Unix shell scripts, Python. Proficiency in Amazon Web Services (AWS) architecture and technologies such as S3, Redshift, RDS, Glue (Catalog and ETL), EMR, Lambda, Step Functions, SQS/SNS, and ECS, CloudWatch, Secrets Manager among others Experience in one or more of the following software skills: API Gateway, JSON, PARQUET, XML, Docker, Urban Code, Jenkins, GITLab, Terraform Strong experience in data engineering, data warehousing, data security and ETL processes Experience creating and using APIs for developing or programming software Strong SQL Experience Strong analytical and problem-solving skills Ability to drive code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate 5+ years' AWS cloud-based technology services experience Must be a self-starter and motivated to learn new technologies, skills, and knowledge required by duties and responsibilities in required timeframe Adept at leading resources, and people to ensure successful on schedule project completion
Top Skills
Api Gateway
AWS
Cloudwatch
Docker
Ecs
Emr
Gitlab
Glue
Jenkins
JSON
Lambda
Parquet
Pl/Sql
Python
Rds
Redshift
S3
SAS
Secrets Manager
Sns
SQL
Sqs
Step Functions
Terraform
Unix Shell Scripts
Urban Code
XML
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