Position :- Senior Data Engineer - Google Cloud Platform (GCP)
Location :- Dallas TX
About The Role
We are searching for a highly skilled and experienced Senior Data Engineer to join our team! As a key member, you will play a pivotal role in designing, building, and maintaining robust data pipelines within the Google Cloud Platform (GCP) environment. You will be responsible for the entire data lifecycle, from understanding business needs and translating them into technical specifications to architecting, developing, and deploying data pipelines that deliver high-quality data to our data warehouse in BigQuery. You will also be a customer-facing champion, advocating for the use of BigQuery and performing thorough data analysis to generate insights that drive business value.
Responsibilities
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.
Qualifications
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.
GCP certification (Professional Data Engineer or equivalent) is a plus.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Information Technology & Services
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