data engineer for investment decision support

HireHi

United States

Remote

USD 90,000 - 130,000

Full time

10 days ago
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Job summary

HireHi is seeking a data engineer/BI developer to build and optimize data pipelines using dbt, develop analytics-ready data models, and create Power BI dashboards. You will work with SQL, Snowflake, and AWS in a fast-paced environment with cross-functional teams.

You will transform business requirements into scalable data models and reporting solutions, ensuring data quality and reliable analytics delivery.

Qualifications

  • Strong SQL and data analysis skills.
  • Hands-on experience with dbt and modern ELT/data transformation practices.
  • Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets.
  • Experience with a modern cloud data warehouse, preferably Snowflake.
  • Strong Power BI skills including data modeling, DAX, dashboards and performance.
  • Ability to understand unfamiliar datasets and identify relationships and data quality issues.
  • Experience debugging and supporting existing data pipelines and analytics solutions.
  • Ability to work independently in a fast-paced environment with limited supervision.
  • Strong experience with Python and Airflow.
  • Strong experience with AWS cloud services.

Responsibilities

  • Build, maintain, and enhance data pipelines and transformation workflows using dbt.
  • Develop clean, reliable, and reusable data models for analytics and reporting.
  • Work with SQL and data warehouse platforms to investigate data and implement transformations.
  • Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
  • Translate business requirements into data models and reporting solutions.
  • Perform data analysis, validation, reconciliation, and data quality checks.
  • Troubleshoot data issues across the pipeline from source to reporting.
  • Take ownership of tasks and drive them through development, testing, and completion.
  • Collaborate with business, analytics, and engineering teams to deliver production-ready solutions.

Skills

SQL
Data analysis
dbt
ELT/data transformations
Data modeling
Power BI/DAX
Data warehousing
Python
Airflow
AWS

Tools

dbt
Snowflake
Power BI
Python
Airflow
AWS

Job description

Описание:

DataArt specialists are helping to develop a decision support system for investment analysts. The project includes developing, optimizing, and accelerating applications and databases.

Задачи:
  • Build, maintain, and enhance data pipelines and transformation workflows using dbt;
  • Develop clean, reliable, and reusable data models for analytics and reporting;
  • Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations;
  • Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures;
  • Translate business requirements into appropriate data models and reporting solutions;
  • Perform data analysis, validation, reconciliation, and data quality checks;
  • Troubleshoot data issues across the pipeline, from source through transformation to reporting;
  • Take ownership of assigned tasks and independently drive them through development, testing, and completion;
  • Work closely with business, analytics, and engineering teams to deliver production-ready solutions.
Требования:
  • Strong SQL and data analysis skills;
  • Hands-on experience with dbt and modern ELT/data transformation practices;
  • Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets;
  • Experience working with a modern cloud data warehouse, preferably Snowflake;
  • Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations;
  • Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements;
  • Experience debugging and supporting existing data pipelines and analytics solutions;
  • Ability to work independently in a fast-paced environment and deliver tasks with limited supervision;
  • Strong experience with Python and Airflow;
  • Strong experience with AWS cloud services.
Условия:

Contract position.

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