AWS Data Engineer

JSR Tech Consulting; Newark (NJ); Ibrido; USD 90.000 - 110.000; Part-time

Descrizione del lavoro

JSR Tech Consulting is seeking a data engineer to design and build scalable batch and real-time data pipelines on AWS for a leading financial firm. The role includes building ETL jobs with PySpark and SQL and ingesting structured and semi-structured data.

The position requires hands-on experience with AWS data services (Glue, Athena, Lambda, Redshift) and a strong understanding of data modeling, security best practices, and CI/CD processes.

Competenze

• Hands-on experience with AWS Glue, Athena, Lambda and Redshift.
• Strong ETL skills using PySpark and SQL.
• Experience with structured and semi-structured data.
• Awareness of CI/CD processes and AWS security best practices.

Mansioni

• Design and develop batch and real-time data pipelines on AWS.
• Build ETL jobs using PySpark and SQL.
• Ingest and process structured and semi-structured data.
• Optimize pipelines for cost and performance.
• Apply AWS security best practices to protect data pipelines.

Conoscenze

AWS Glue

AWS Athena

AWS Lambda

AWS Redshift

PySpark

SQL

Structured data

Semi-structured data

CI/CD

AWS data security

Descrizione del lavoro

• Newark, NJ (Hybrid – 3 days/week onsite)
• Long-Term Contract
• $65 – $80/hr
• C2C and W2 are fine

About the Role

• Join a leading financial firm on a long-term contract engagement
• Design and build scalable batch and real-time data pipelines on AWS

Key Responsibilities

• Design and develop batch and real-time data pipelines using AWS Data and Analytics services such as Glue, Athena, Lambda, and Redshift
• Build complex data processing and ETL jobs using PySpark and SQL
• Ingest and process structured and semi-structured data
• Optimize data pipelines for cost efficiency and performance
• Apply best practices to secure data pipelines and data assets in AWS

Required Qualifications

• Hands-on experience with AWS Glue, Athena, Lambda, Redshift, and related AWS data services
• Strong experience building ETL jobs with PySpark and SQL
• Experience working with structured and semi-structured data
• Exposure to data warehouse, data lake, and lakehouse architectures
• Solid understanding of data modeling techniques
• Exposure to CI/CD processes
• Knowledge of AWS data security best practices

Nice to Have

• Knowledge of data quality and data governance processes