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Contractor: Senior-level Backend Software Engineering Services (Reporting)

Roles & Responsibilities

  • 5+ years of experience working with data in a software environment
  • Proficiency in SQL and Python; experience with DBT and data integrity testing frameworks
  • Experience with DAG tooling (Dagster or Airflow) and OLAP datastores; familiarity with cloud-based infrastructure (AWS, GCP, Terraform)
  • Ability to work autonomously and develop deep domain knowledge of data systems; Python API development is a plus; GCP experience preferred but not required

Requirements:

  • Build and maintain composable data models, optimize SQL query performance, and maintain Python APIs for serving data to customers
  • Transform raw data into business insights, collaborating with stakeholders to serve data to critical customer reporting interfaces
  • Apply data modeling and transformation using SQL and Python; expand the data warehouse with clean data ready for analysis; apply version control and CI to the analytics codebase
  • Build tools and automation to run data infrastructure; manage large-scale data migrations in relational datastores

Job description

Seeking to hire a Contractor based out of Argentina or Mexico for Senior-Level Back End Engineering Services (Reporting)

Scope of Services:

  • We are looking for an Analytics Reporting Engineer to join our data team.
  • Reporting to the Hiring Manager, you will be responsible for applying best practices in data modeling, data transformation, data testing for serving quality data to customer reporting interfaces.
  • You will be responsible for building and maintaining composable data models, optimizing SQL query performance and maintaining python APIs for serving data to customers.
  • You will transform raw data into business insights, working closely with stakeholders to serve data to critical customer reporting interfaces.

Why you'll love this role:Data Modeling and Transformation

  • Build new models and optimize existing ones using SQL and Python.
  • Apply software engineering principles like version control and continuous integration to the analytics codebase.
  • Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

  • Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
  • Implement validation checks and automated testing procedures to manage data quality in data transformation and API layers.

Collaboration and Communication

  • Work with stakeholders to define business logic and data expectations.
  • Help drive a change in the usage of data by actively surfacing insights to stakeholders.
  • Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

  • Build tools and automation to run data infrastructure.
  • Manage large-scale data migrations in relational datastores.

Why you’re a great fit:

  • 5+ Years experience working with data in a software environment. 
  • Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with DBT implementation and best practices.
  • Experience with Python API development is a plus, but not required.
  • Experience with GCP services is preferred but not required. 
  • You have a track record of working autonomously, with developing a deep domain knowledge of data systems.
  • Required Tech Stack: SQL, Python, OLAP datastores, DAG tooling (like Dagster or Airflow), and DBT
  • Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits. 

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