Data Engineer Google Cloud

Digitals AI Inc specializes in cloud-based data engineering and artificial intelligence solutions.
Data
Mid-Level Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS

Description For Data Engineer Google Cloud

Digitals AI Inc is seeking a mid-level Google Cloud Platform (GCP) Data Engineer with 5+ years of experience in ETL, Data Warehousing, and Data Engineering. This role offers a hybrid work environment based in Dallas, Texas. The position requires extensive experience with GCP tools and services including BigQuery, Cloud Storage, Dataflow, and Cloud Functions. The ideal candidate will bring strong technical expertise in data engineering combined with excellent communication skills.

The role involves designing and implementing robust data pipelines, working with various data formats, and ensuring data quality across systems. You'll be responsible for both technical delivery and stakeholder management, making this an excellent opportunity for a data engineer looking to grow their career. The position offers a comprehensive benefits package including health insurance, PTO, and performance bonuses.

This is an excellent opportunity for a data professional who wants to work with cutting-edge cloud technologies while solving complex data engineering challenges. The role combines hands-on technical work with leadership opportunities, making it ideal for someone ready to take the next step in their data engineering career. You'll be working with modern tools and technologies while contributing to the company's data infrastructure and solutions.

Last updated a month ago

Responsibilities For Data Engineer Google Cloud

  • Analyze source systems, profile data, understand, document & fix Data Quality issues
  • Gather requirements and transform data for end users' needs
  • Write complex SQLs for ETL/data pipeline
  • Create design documents and Source to Target Mapping documents
  • Design, Develop and Test ETL/Data pipelines
  • Design & build metadata-based frameworks
  • Write and execute Unit Test cases
  • Deploy ETL/Data pipelines
  • Use DevOps tools for version control and deployment
  • Support troubleshooting & debugging
  • Perform production support and enhancements
  • Manage stakeholder communications for EDW incidents/problems
  • Perform data cleaning, transformation, and validation
  • Stay current on industry best practices

Requirements For Data Engineer Google Cloud

Python
  • 5+ years of experience in ETL & Data Warehousing
  • Excellent leadership & communication skills
  • Experience in developing Data Engineering solutions with GCP tools
  • Experience with Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run
  • Experience building solution automations in ETL tools
  • Executed at least 2 GCP Cloud Data Warehousing projects
  • Experience with Agile/SAFe methodology
  • Mid level experience in Pyspark and Teradata
  • Experience with DevOps tools like GitHub, Jenkins, Cloud Native
  • Experience with JSON, Parquet and/or XML files
  • Strong SQL query writing skills
  • In-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping

Benefits For Data Engineer Google Cloud

Medical Insurance
  • Private Health Insurance
  • Paid Time Off
  • Performance Bonus

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