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EI

Data Engineer

Expert In Recruitment Solutions
๐Ÿ‡บ๐Ÿ‡ธ United States
On-site
2 months ago
  • AWS Glue
  • IAM
  • Redshift
  • Python
  • SFTP
  • SNS
  • CI/CD
  • Jenkins
  • Databricks
  • Snowflake
  • Data Modeling
  • AWS
  • AWS Cloud
  • Apache Spark
  • PySpark
  • ETL
  • Git
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Data Engineer
hybird - malvern pa
2 openings
assessment required


Job Description

Technical Stack & Requirements:
  • Core Competencies: AWS, Glue, S3, IAM, Redshift, Python, Spark.
  • Development Environment: Experience with Amazon SageMaker is mandatory, as this is our primary environment for code development before production deployment.
  • Pipeline Management: Experience building end-to-end data pipelines, managing SFTP connections, and integrating with diverse data sources (Data Lakes, flat files, etc.).
  • Infrastructure & Automation: Experience with SNS notifications and CI/CD tools (Jenkins) to ensure process efficiency.
  • Nice-to-Have Skills: Experience with Databricks or Snowflake is highly desirable as we transition toward these platforms.
  • Data Modeling: Proficiency in designing data models and creating multi-layered data structures to feed executive and operational reports.

Key Responsibilities:
  • Manage priorities across multiple workstreams and handle production support as needed.
  • Maintain robust pipelines with automated checks, particularly for event-driven jobs.
  • Communicate effectively with external vendors and internal business stakeholders to gather requirements and provide solutions.
  • Collaborate with senior engineering staff to ensure the security and integrity of our AWS development environments.
Required Qualifications
  • 5+ years of Data Engineering or IT experience.
  • 4+ years of AWS cloud development experience.
  • Expert Python programming skills.
  • Experience with Sagemaker.
  • Robust hands-on experience with Apache Spark / PySpark.
  • Experience building cloud-native ETL pipelines.
  • Robust understanding of distributed computing.
  • Experience designing scalable data models.
  • Experience with Git and CI/CD pipelines.
  • Robust analytical and problem-solving skills.
  • Build scalable and auto recoverable pipelines.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
  • Working directly with business SME's and stakeholders.

Good to have
  • Experience with Databricks tool.

Data Engineer ยท Expert In Recruitment Solutions

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