Aws Redshift Data Engineer

• Developing ETL pipelines involving big data. • Developing data processinganalytics applications primarily using PySpark. • Experience of developing applications on cloud(AWS) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming. • Clear understanding and ability to implement distributed storage, processing and scalable applications. • Experience of working with SQL and NoSQL database. • Ability to write and analyze SQL, HQL and other query languages for NoSQL databases. • Proficiency is writing disitributed & scalable data processing code using PySpark, Python and related libraries. Data Engineer AEP Competency • Experience of developing applications that consume the services exposed as ReST APIs.