Found Description
AWS Data Engineer – Job Description
Mandatory
Role:
AWS Data Engineer
Required Technical Skill Set:
Python, PySpark, AWS Glue, AWS Lambda, Amazon S3, Redshift, Athena, EMR, DynamoDB, Kinesis, IAM, CI/CD, Databricks
Desired Experience Range:
6–8 Years
Location of Requirement:
Pan India
Desired Competencies
Must-Have
Strong proficiency in Python and PySpark for large‑scale distributed data processing.
Experience building data ingestion pipelines using AWS Glue, Kinesis, Lambda, API-based ingestion.
Experience with Glue ETL, Spark on EMR, or Databricks on AWS.
Expertise with Amazon S3, Redshift, DynamoDB, Athena.
Strong understanding of ETL/ELT, dimensional modeling, data lakes, and warehouse architecture.
Good-to-Have
Experience with DevOps & Automation using Git, AWS CodePipeline, CloudWatch, CI/CD.
Performance tuning of Spark jobs, Glue jobs, and Redshift queries.
Knowledge of data governance, quality c...
Mandatory
Role:
AWS Data Engineer
Required Technical Skill Set:
Python, PySpark, AWS Glue, AWS Lambda, Amazon S3, Redshift, Athena, EMR, DynamoDB, Kinesis, IAM, CI/CD, Databricks
Desired Experience Range:
6–8 Years
Location of Requirement:
Pan India
Desired Competencies
Must-Have
Strong proficiency in Python and PySpark for large‑scale distributed data processing.
Experience building data ingestion pipelines using AWS Glue, Kinesis, Lambda, API-based ingestion.
Experience with Glue ETL, Spark on EMR, or Databricks on AWS.
Expertise with Amazon S3, Redshift, DynamoDB, Athena.
Strong understanding of ETL/ELT, dimensional modeling, data lakes, and warehouse architecture.
Good-to-Have
Experience with DevOps & Automation using Git, AWS CodePipeline, CloudWatch, CI/CD.
Performance tuning of Spark jobs, Glue jobs, and Redshift queries.
Knowledge of data governance, quality c...