Sr. GCP Data Engineer-Houston, TX – Hybrid

[David Miller]

Role: Sr. GCP Data Engineer

Location: Houston, TX – Hybrid – 2 days office

Duration: Long Term

 

Experience: 8 - 12 years

Job Summary: As a Sr Consultant, you will leverage your expertise in Google Cloud technologies to drive impactful data solutions. You will work in a hybrid model, collaborating with teams to design, implement, and optimize data pipelines and analytics solutions. Your role will involve using tools like GITHUB, Cloud Pub/Sub, Datastream, Python, Big Query, and Google Cloud Big Data to deliver high-quality results.

Required Skills: GITHUB, Cloud Pub/Sub, Datastream, Python, Big Query

Responsibilities: - Lead the design and implementation of scalable data pipelines using Google Cloud technologies to support business analytics needs. - Oversee the integration of data from various sources using Cloud Pub/Sub and Datastream to ensure seamless data flow. - Provide technical expertise in Python to develop and maintain data processing scripts that enhance data quality and accessibility. - Collaborate with cross-functional teams to understand data requirements and translate them into effective data solutions. - Optimize BigQuery queries and data models to improve performance and reduce costs for data analytics. - Ensure the security and compliance of data solutions by implementing best practices in data governance and management. - Develop and maintain documentation for data processes and solutions to facilitate knowledge sharing and onboarding. - Monitor and troubleshoot data pipelines to ensure reliability and address any issues promptly. - Contribute to the continuous improvement of data infrastructure by evaluating new tools and technologies. - Support the deployment of data solutions in a hybrid work model, ensuring seamless integration with existing systems. - Engage with stakeholders to provide insights and recommendations based on data analysis and reporting. - Drive innovation by exploring new data sources and techniques to enhance business intelligence capabilities. - Mentor junior team members by sharing knowledge and best practices in data engineering and analytics.

Qualifications - - Possess strong experience in GITHUB for version control and collaboration in software development. - Demonstrate proficiency in Cloud Pub/Sub and Datastream for real-time data streaming and integration. - Exhibit expertise in Python programming for data processing and automation tasks. - Have in-depth knowledge of BigQuery and Google Cloud Big Data for data warehousing and analytics. - Show familiarity with Google Cloud Platform (GCP) services and tools for building scalable data solutions. - Display excellent problem-solving skills and the ability to work collaboratively in a hybrid work environment. - Bring a minimum of 8 years of experience in data engineering or related fields, with a focus on cloud technologies