Data Engineer: GCP, dbt & Power BI (Hybrid, Dallas)

Osi Digital Inc

Dallas (TX)

Hybrid

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

Osi Digital Inc. is seeking a Data Engineer / BI Developer in Dallas, TX (Hybrid) with 2-4 years of cloud-based data pipelines, transformation frameworks, and reporting experience. Expertise in Google BigQuery, Apache Airflow, dbt, SQL, and Power BI is required for building data warehousing, ETL/ELT processes, and dashboards.

The role emphasizes optimization, data modeling, quality checks, and collaboration with stakeholders to translate requirements into scalable solutions.

Qualifications

  • 2-4 years of experience in Data Engineering, Business Intelligence, or Analytics Engineering.
  • Strong hands-on experience with Google BigQuery.
  • Hands-on experience developing and maintaining Apache Airflow DAGs.
  • Good experience with dbt Core or dbt Cloud.
  • Strong knowledge of SQL and query optimization.
  • Hands-on experience with Power BI.
  • Good understanding of Power Query, DAX, Data modeling, Power BI Service, Dataset / semantic model refresh, Row-Level Security (RLS).
  • Understanding of ETL/ELT architecture and data warehousing concepts.
  • Experience working with fact and dimension models and star-schema-based reporting solutions.
  • Knowledge of data validation, reconciliation, and troubleshooting techniques.
  • Experience using Git or similar version-control tools.
  • Snowflake
  • Databricks
  • Python for data engineering
  • GCP services: Cloud Storage, Cloud Composer, IAM, Dataflow, Pub/Sub
  • Azure or AWS
  • CI/CD pipelines for dbt, Airflow, or Power BI deployments
  • Data governance, data quality, metadata management, and security concepts
  • Agile/Scrum delivery environments

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Apache Airflow.
  • Develop and optimize data warehouse solutions using Google BigQuery.
  • Build reusable and maintainable transformation models using dbt.
  • Develop interactive reports and dashboards using Power BI.
  • Write complex and optimized SQL queries for extraction, transformation, validation, and reporting.
  • Create and maintain dimensional models, fact tables, views, and reporting datasets.
  • Develop dbt models, tests, documentation, macros, and incremental processing logic.
  • Monitor Airflow DAGs and troubleshoot pipeline and data-quality issues.
  • Optimize BigQuery queries for performance and cost efficiency.
  • Build Power BI semantic models, relationships, measures, calculated columns, and DAX calculations.
  • Perform source-to-target validation and data reconciliation.
  • Implement data-quality checks to ensure reliable and consistent reporting.
  • Participate in code reviews, deployments, testing, and production support.
  • Maintain technical documentation for pipelines, transformations, datasets, and dashboards.

Skills

Data engineering
BI development
Analytics engineering
Cloud data platforms

Tools

Google BigQuery
Apache Airflow
dbt Core
dbt Cloud
SQL
Power BI
Git
Python
Power Query
DAX
Power BI Service
RLS

Job description

Osi Digital Inc. is seeking a Data Engineer / BI Developer in Dallas, TX (Hybrid) with 2-4 years of cloud-based data pipelines, transformation frameworks, and reporting experience. Expertise in Google BigQuery, Apache Airflow, dbt, SQL, and Power BI is required for building data warehousing, ETL/ELT processes, and dashboards.

The role emphasizes optimization, data modeling, quality checks, and collaboration with stakeholders to translate requirements into scalable solutions.

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