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Data Engineer
Data EngineerTechDigital Group • Princeton, NJ, United States
Data Engineer

Data Engineer

TechDigital Group • Princeton, NJ, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Key Skills & Technologies

  • Programming Languages : Python (primary), SQL
  • Cloud Platforms : AWS (S3, Glue, Lambda, Redshift, EC2, EMR)
  • Data Tools : Apache Spark, Pandas, PySpark, Airflow
  • Databases : PostgreSQL, MySQL, NoSQL (e.g., DynamoDB)
  • ETL & Workflow Orchestration : AWS Glue, Apache Airflow
  • Version Control : Git
  • DevOps & CI / CD : Basic understanding of CI / CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation)

Job Summary

  • Data Pipeline Development - Design, build, and maintain scalable and reliable data pipelines to ingest, process, and transform data from various sources.
  • Data Integration & Management - Integrate structured and unstructured data from internal and external systems.
  • Ensure data quality, consistency, and availability across platforms.
  • Cloud-Based Data Engineering - Leverage AWS services (e.g., S3, Lambda, Glue, Redshift, EMR) to build cloud-native data solutions.
  • Optimize cloud resources for performance and cost-efficiency.
  • Programming & Automation - Use Python for data manipulation, ETL workflows, and automation of data tasks.
  • Develop reusable scripts and modules for data processing.
  • Collaboration & Stakeholder Engagement - Work closely with data scientists, analysts, and business teams to understand data needs.
  • Translate business requirements into technical solutions.
  • Monitoring & Optimization - Monitor data pipelines and troubleshoot issues proactively.
  • Continuously improve performance, scalability, and reliability of data systems.
  • #J-18808-Ljbffr

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    Data Engineer • Princeton, NJ, United States

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