AWS Data Engineer

Job Requirements

Coding skill in

SQL, Python, and PySpark

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. Fill the below table while sharing the profile: Skill/Competency

Rating

Years of Experience

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