AWS Data Engineer
TechDigital Group
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
Vacancy posted 4 days ago
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