Posted:None|
Platform:
Hybrid
Full Time
Designing, building, and maintaining ETL/ELT pipelines using dbt and GCP services like BigQuery and Cloud Composer.
Creating and managing data models and transformations using dbt to ensure efficient and accurate data consumption for analytics and reporting.
Developing and maintaining a data quality framework, including automated testing and cross-dataset validation.
Writing and optimizing SQL queries for efficient data processing within BigQuery.
Working with data engineers, analysts, scientists, and business stakeholders to deliver data solutions.
Supporting day-to-day incident and ticket resolution related to data pipelines.
Creating and maintaining comprehensive documentation for data pipelines, configurations, and procedures.
Utilizing GCP services like BigQuery, Cloud Composer, Cloud Functions, etc.
Developing and maintaining SQL/Python scripts for data ingestion, transformation, and automation tasks.
Typically requires 7~12 years of experience in data engineering or a related field.
Strong hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery.
Proficiency in using dbt for data transformation, testing, and documentation.
Advanced SQL skills for data modeling, performance optimization, and querying large datasets.
Understanding of data warehousing concepts, dimensional modeling, and star schema design.
Experience with ETL/ELT tools and frameworks, including Apache Beam, Cloud Dataflow, Data Fusion, or Airflow/Composer.
Pylon Management Consulting
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