Data Engineer - GCP

TechDigital Group

Washington (District of Columbia)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

TechDigital Group in Dallas is seeking a skilled Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to design, develop, and optimize scalable data solutions. The role focuses on cloud-native pipelines, advanced analytics, and enterprise data integration.

Key responsibilities include implementing ETL/ELT pipelines, optimizing data models, and enabling efficient analytics across large datasets within the BigQuery environment.

Qualifications

  • Experience with Google Cloud Platform and BigQuery for analytics.
  • Ability to design scalable data pipelines and data models.
  • SQL proficiency and data integration skills.

Responsibilities

  • Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub).
  • Develop and optimize data models and schemas in BigQuery for high-performance analytics.
  • Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data.
  • Implement data partitioning, clustering, and query optimization in BigQuery.
  • Translate SQL and scripting into BigQuery-enabled workflows with GCP integration.

Skills

GCP
BigQuery
SQL
Data modeling

Tools

Dataflow
Cloud Composer
Pub/Sub

Job description

We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to support the design, development, and optimization of scalable data solutions. The role involves building cloud-native data pipelines, enabling advanced analytics, and supporting enterprise data integration initiatives.

Data Engineering & Development
  • Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub)
  • Develop and optimize data models and schemas in BigQuery for high-performance analytics
  • Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data
  • Implement data partitioning, clustering, and query optimization strategies in BigQuery
  • Ability to interpret and convert SQL, and CCL Scripts into a BigQuery along with integration with GCP
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