Data Engineer

Hanover, NJ, US • Posted 12 hours ago • Updated 12 hours ago
Contract Corp To Corp
Contract W2
2 Years
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data

Summary

Position: Data Engineer

Location: Hanover, NJ

 

Job Description:

  • Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ years of experience
  • Data Engineering
  • Strong experience in designing and building large-scale data platforms.
  • Expertise in data warehousing and dimensional modeling.
  • Experience with ETL/ELT design and implementation.
  • Strong understanding of data governance, metadata management, and data quality frameworks.
  • Programming & Databases
  • Advanced proficiency in Python and SQL.
  • Experience with Spark/PySpark for large-scale data processing.
  • Strong knowledge of relational and NoSQL databases.
  • Cloud Technologies
  • Experience with one or more cloud platforms:
  • AWS
  • S3
  • Glue
  • Lambda
  • Redshift
  • Athena
  • EMR
  • Step Functions
  • Azure
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Databricks
  • ADLS Gen2
  • Big Data & Streaming
  • Apache Spark
  • Kafka
  • Kinesis
  • Hadoop ecosystem (preferred)
  • DevOps & Automation
  • Git
  • Jenkins/GitHub Actions/Azure DevOps
  • Terraform or CloudFormation
  • Docker and Kubernetes (preferred)
  • Preferred Qualifications
  • Experience with Apache Iceberg, Delta Lake, or Hudi.
  • Hands-on experience with Snowflake or Databricks.
  • Experience implementing Lakehouse architectures.
  • Working knowledge of Data Mesh and modern data platform concepts.
  • Exposure to AI/ML data pipelines and feature engineering.
  • Experience in Banking, Financial Services, or Capital Markets domains.
  • Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
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: 10120137
  • Position Id: 71408-10367-1789054006
  • Posted 12 hours ago
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