Job description

Role: Sr. Data Engineer Hybrid model( Client location, Newark, NJ) Visa: GC, Citizen Required Qualifications: • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience. • 5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises. • Strong programming experience with Python, Shell scripting, and SQL. • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager. • Experience in serverless application development and data pipeline orchestration. • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS. • Knowledge of ETL/ELT, data modeling, and big data technologies. • Familiarity with data warehousing concepts and cloud-based architecture. • Strong problem-solving skills and attention to detail

Requirements

Must-haves

Role: Sr. Data Engineer
Hybrid model( Client location, Newark, NJ)
Visa: GC, Citizen
Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
Strong programming experience with Python, Shell scripting, and SQL.
Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
Experience in serverless application development and data pipeline orchestration.
Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
Knowledge of ETL/ELT, data modeling, and big data technologies.
Familiarity with data warehousing concepts and cloud-based architecture.
Strong problem-solving skills and attention to detail

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

awspythonsql

Platform: jobdiva
Effort: medium