GCP Data Engineer
2 weeks ago
Greetings from Smart IT Frame, Hope you are doing well
Smart IT Frame specializes in enabling you with your most critical line of resources. Whether it is for permanent staffing, contract staffing, contract-to-hire or executive search, we understand the importance of delivering the most suitable talent; on time and within budget. With our Core focus in emerging technologies, we have provided global technology workforce solutions in North America, Canada & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide.
Role: GCP Data Engineer
Location: Austin, TX – Onsite
Type: Full Time
Required Skills:
- 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
Job Description:
- Design, develop, and deploy scalable data pipelines using GCP 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.
- Minimum 5+ years of experience as a Data Engineer or related role.
- Proven experience in designing, building, and deploying data pipelines in the cloud (ideally GCP).
- Strong understanding of data architecture principles and best practices.
- Expertise in SQL and experience with BigQuery.
- Familiarity with data analysis techniques and tools.
- Excellent communication and collaboration skills.
- Ability to translate business requirements into technical specifications.
- Experience working in a customer-facing role is highly desirable.
- Experience with data warehousing concepts is highly desirable.
- Proficiency in scripting languages (Python) is a plus.
- Proficiency in BI tools such as Tableau, Power BI, or equivalent.
- Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.).
- GCP certification (Professional Data Engineer or equivalent) is a plus.
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