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Data Engineer

DMV IT Service

Philadelphia, pennsylvania


Job Details

Full-time


Full Job Description

Job Title: Data Engineer
Location: Philadelphia, PA (Hybrid)
Employment Type: Full-Time

About Us:
DMV IT Service, headquartered in Washington, DC, is a premier provider of tailored IT solutions and staffing services nationwide. We specialize in delivering expert IT support, robust cybersecurity measures, and custom website and application development to enhance business efficiency and security. Our commitment extends to aligning top-tier talent with organizations, ensuring that our clients achieve their technological and operational objectives.

Job Overview:
We are seeking an experienced Data Modeler and ETL Specialist to lead the design and development of data models and ETL processes for diverse financial data sets. This role requires a deep understanding of AWS technologies and robust data handling skills to ensure alignment with business goals and operational needs.

Requirements

Key Responsibilities:

  • Design and develop conceptual, logical, and physical data models for various financial data sets.
  • Collaborate with product management and economic research teams to translate complex data requirements into effective data models.
  • Ensure all data models effectively support transactional, analytical, and operational needs and are aligned with business goals.
  • Design and implement ETL processes to integrate data from multiple sources into data lakes, ensuring data quality, consistency, and integrity.
  • Develop and maintain detailed documentation for all data models and ETL processes to facilitate clarity and operational efficiency.

Minimum Requirements:

  • 5+ years of experience with AWS technologies (S3, Redshift, RDS, etc.).
  • 3+ years of experience with dbt and orchestration tools such as Airflow, Prefect, or Dagster.
  • Strong programming skills in Python or Java.
  • Familiarity with big data technologies like Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, and Data Fusion.
  • Familiarity with data governance tools such as Monte Carlo and Atlan.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.

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