Looking for a Data Engineer (Face to Face interview)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

AWS Glue
Python

Job Details

Job Title: Data Engineer (AWS Glue & Python)

Location: Jersey City, NJ ( Need Only locals) 50 Miles only

Mail:

Need 10+ Years Exp only

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using AWS Glue (PySpark/Scala).
  • Build scalable and efficient data integration workflows using AWS services such as S3, Lambda, Glue Crawlers, Glue Studio, Athena, Step Functions, Lake Formation, and Redshift.
  • Write high-quality Python and PySpark scripts for complex data transformations.
  • Work with structured and unstructured data formats like JSON, Parquet, CSV, Avro, and more.
  • Implement data quality checks, metadata management, and logging/monitoring for pipelines.
  • Collaborate with analytics, BI, and product teams to understand data requirements.
  • Optimize Glue jobs for performance and cost efficiency.
  • Manage data security and compliance using IAM, KMS, encryption, and data governance best practices.
  • Troubleshoot ETL issues and handle operational support for data workflows.
  • Participate in architecture reviews and contribute to data engineering best practices.

Required Skills

  • Strong hands-on experience with AWS Glue (Jobs, Crawlers, Workflows, Triggers).
  • Proficient in Python and PySpark for large-scale data processing.
  • Solid experience working with AWS data ecosystem:
  • S3, Athena, Lambda, Step Functions, Redshift, CloudWatch, Lake Formation
  • Strong understanding of ETL/ELT concepts, performance tuning, and distributed processing.
  • Experience with RDBMS systems like PostgreSQL, MySQL, SQL Server, etc.
  • Hands-on experience with data formats: JSON, Parquet, CSV, Avro.
  • Good knowledge of version control (Git), CI/CD, and deployment automation.
  • Ability to work in an agile and collaborative environment.
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