AWS Data Engineer

Job Requirements

Coding skill in SQL, Python, and Py Spark is mandatory. Unix scripting is desired.

Having worked on real 2 to 3 projects as AWS Data Engineer and ability to work on Data pipeline, ingest, transform, and deliver using S3, Glue, and Redshift/RDS is needed.

Knowledge of streaming ingestion using KAFKA/Kinesis or Spark Streaming is desired.

AWS Solution Architect Associate or Developer Associate is needed but AWS Data Analytics Certification is desired.

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Skill/Competency
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Comments on primary skills – Skill/Competency
AWS Certifications

AWS Solution Architect Associate or Developer Associate (desired)
AWS Data Analytics Certification (nice to have)
Data pipeline, ingest, transform, and deliver using S3, Glue, RDS, Redshift, Athena, Lambda(Real 2-3 projects as AWS Data Engineer)
SQL, Python, Spark (mandatory)
Complex SQL scripting & Performance Tuning (mandatory)
Lake Formation, Cloud Formation templates, CI/CD, Jenkins, Cloud Watch (mandatory)
Streaming ingestion using KAFKA/Kinesis or Spark Stream (desired)
Unix Shell Scripting (desired)
Step Functions/Autosys Knowledge Implementing ETL / ELT for data solutions - CDC, Data Modeling, Data Governance Ingest, Storage, Integration, Processing, Access Code Versioning Jira and Confluence

QA/Testing Security (IAM, security credentials, etc.) #J-18808-Ljbffr