Job Title: Big Query Data Engineer

Location: Austin, TX (Onsite from day 1)
Duration: Full time/ Permanent

Job Description:

• Python API development experience
• End to end data pipeline from raw data sources > ingestion of data > ELT/ETL > consumable reporting tables with BigQuery
• Google Cloud Storage
• Cloud Composer
• Nice to have: Looker/Tableau, Cyber Security background
• Design, develop, and deploy scalable data pipelines using Google Cloud Platform tools and services like Cloud Dataflow, Cloud Storage, Pub/Sub, and Cloud Functions.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for data pipelines.
• Develop and maintain a comprehensive data architecture that ensures data quality, efficiency, and scalability.
• Conduct thorough analysis of system data to identify trends, diagnose issues, and optimize data pipeline performance.
• Advocate for the use of BigQuery as the central data warehouse solution and champion its capabilities to internal customers.
• Perform customer-facing data analysis, generating insights and reports that inform decision-making.
• Stay up-to-date on the latest advancements in data engineering technologies and best practices.
• Collaborate with cross-functional teams (data analysts, data scientists, and developers) to ensure seamless data integration and analysis.
• Document data pipelines and processes for maintainability and knowledge transfer.
• Master's/bachelor's degree in computer science, business analytics, information technology, statistics, or a related field.