Data Engineer Consultant

5 days ago

Tampa, Florida, United States Eateam Full time

We are seeking a talented Data Engineer Consultant to join our team at Eateam INC. The ideal candidate will have broad experience in building data pipelines that scale across many data sources and consumers, along with presenting the data in visualization tools.

The Data Engineer Consultant will be responsible for creating and maintaining data pipelines that ingest, transform and stage data for use in analytics processes. This includes building integrations with external systems using common integration patterns and tools, developing visualizations of the data in Tableau using internal UI/UX standards, and integrating with various source systems across the organization to pull data into a data lake for processing.

The successful candidate will have strong hands-on Python development experience using pandas, SQLAlchemy, Django, and professional experience in core AWS services and architecture supporting data processing systems. They will also have experience building and modifying Tableau reports, strong knowledge of open-source libraries for data processing like Airflow, and the ability to understand and explain complex business processes and data.

We are looking for a self-starter who is able to quickly come up to speed in multiple development environments and has a solid understanding of relational and columnar databases. The ideal candidate will be comfortable working in either an agile team or independently depending on project needs.

Responsibilities:

  • Create and maintain data pipelines that ingest, transform and stage data for use in analytics processes.
  • Build integrations with external systems using common integration patterns and tools.
  • Develop visualizations of the data in Tableau using internal UI/UX standards.
  • Integrate with various source systems across the organization to pull data into a data lake for processing.
  • Partner with business to develop required functionality and datasets.
  • Understand the data model across multiple business domains and appropriately map into cross functional reports and dashboards.
  • Work across a number of ongoing projects and delivery streams while prioritizing with the users changes and features.
  • Develop and manage data processing services on Linux servers.
  • Migrate and refactor legacy process to modern cloud infrastructure

Requirements:

  • Very strong hands-on Python development experience using pandas, SQLAlchemy, Django.
  • Professional experience in core AWS services and architecture supporting data processing systems.
  • Experience building and modifying Tableau reports.
  • Strong knowledge of open-source libraries for data processing like Airflow.
  • Can clearly explain typical data processing architectures and their benefits and drawbacks.
  • Familiar with containers and microservice architectures.
  • Comfortable working in either an agile team or independently depending on project needs.
  • Self-starter that is able to quickly come up to speed in multiple development environments.
  • Ability to understand and explain complex business processes and data, ideally within financial companies.
  • Some experience in Linux to manage processing jobs.
  • Solid understanding of relational and columnar databases.
  • Experience with Rest API development.
  • Ability to understand and modify complex queries across multiple data sources

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