AWS Data Engineer Full-Time Only For & GC

West New York, NJ, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AWS
  • ETL/ELT
  • Amazon S3
  • Redshift
  • and AWS Glue
  • data platforms.
  • DevOps engineers.

Summary

Location: TBD / As per Client Requirement

Start Date: ASAP

 

Job Summary

 

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.

  • Build and manage enterprise data lakes and data warehouses using Amazon S3, Redshift, and AWS Glue.

  • Develop and optimize batch and real-time data processing solutions.

  • Ensure data quality, governance, integrity, and security across enterprise data platforms.

  • Integrate data from multiple sources and formats.

  • Collaborate with business stakeholders to translate requirements into scalable technical solutions.

  • Monitor, troubleshoot, and optimize data workflows for performance and reliability.

  • Optimize AWS infrastructure for cost and performance.

  • Work closely with Data Scientists, BI teams, and DevOps engineers.

Required Skills

  • 8+ years of experience in Data Engineering.

  • Strong hands-on experience with:

    • Amazon S3

    • AWS Glue

    • Amazon Redshift / RDS

    • AWS Lambda

    • Amazon Kinesis

  • Strong SQL skills.

  • Proficiency in Python, Scala, or Java.

  • Experience with ETL/ELT frameworks and data integration.

  • Strong understanding of data modeling, data warehousing, and big data concepts.

  • Experience with Apache Spark and Hadoop.

  • Experience with Git and CI/CD pipelines.

Preferred Skills

  • Apache Spark

  • Apache Kafka

  • Databricks

  • Terraform or AWS CloudFormation

  • AWS Certified Data Engineer or AWS Solutions Architect certification

  • Power BI or Tableau

  • Knowledge of data governance, security, and compliance.

  • Experience with machine learning data pipelines.

  • Exposure to multi-cloud or hybrid cloud environments.

Soft Skills

  • Excellent analytical and problem-solving abilities.

  • Strong communication and stakeholder management skills.

  • Attention to detail with a focus on data quality.

  • Ability to work effectively in Agile environments.

Education

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10459902
  • Position Id: 1326-22664-1784662274
  • Posted 5 hours ago
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