Data Engineer

4 weeks ago

Philadelphia, Pennsylvania, United States Goddard Systems Full time
Job Description

Goddard Systems is seeking a highly skilled Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for integrating, analyzing raw data, developing, and maintaining datasets and improving data quality and efficiency.

The ideal candidate will have strong analytical skills and experience with various data sources, integration tools, and data transformation methods. You will work closely with our analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Key Responsibilities:

  • Develop and maintain scalable data pipelines, integration tools, and build out new API integrations to support continuing increases in data usage, volume, and complexity.
  • Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition.
  • Design data integrations, data quality framework, and integrate it with monitoring services.
  • Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
  • Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, DB, SQL, and data pipelines performance tuning, optimizing data delivery, and automating manual processes.

Requirements:

  • Strong programming, SQL skills across structured and unstructured data.
  • Intimate with most Azure services, including ADF, Azure Functions, ASB, API, Synapse, SQL.
  • Cumulative 10+ years of experience in technology, specifically in the data field.
  • Solid balance between architecture strategy, technical IT skills, and strong business process knowledge.
  • 4+ years of Python, NodeJs, or Java development experience.
  • 4+ years of experience with schema design and dimensional data modeling.
  • Experience in technology platforms across Microsoft Azure, Cloud Computing, Software as a Service (SaaS), Integration Platform as a Service (IPaaS), Infrastructure as a Service (IaaS).
  • Previous experience as a data engineer or in a similar role.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Hands-on 7+ years' experience with SQL, Data integration, Data analysis, Data Modelling, and design.
  • Experience working with Data warehousing and Data Lake solutions.
  • Demonstrated ability to instrument Data Quality & Management standards and processes.
  • 4+ years working with data integration and ETL tools, such as Azure Data Factory, CDC, Replication, Talend, Informatica, etc.

Education:

  • Bachelor's degree in technology-related discipline, such as Computer Science, Software.
  • Master's in Computer Science or related field is a plus.
  • Data engineering certifications are a plus.

Travel Requirements:

There will be periodic requirements to travel for in-person events, at the discretion of your manager or the requirement of the company.

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