What are the responsibilities and job description for the Google Cloud Engineer position at BBI?
We are seeking a talented and dynamic Data Engineer with expertise in Google Cloud Platform (GCP) and Python development to join our team. In this role, you will help build scalable and efficient data pipelines that support our data-driven initiatives. You will leverage cutting-edge technologies in the cloud space to deliver accurate and actionable insights, empowering teams to make data-informed decisions and drive business growth.
As a GCP and Python Data Engineer, you will work closely with cross-functional teams (marketing, digital, customer care, product, IT) to provide data-driven solutions that impact customer data, optimize processes, and build long-term customer relationships. You’ll be responsible for transforming raw data into meaningful insights and delivering reliable data pipelines that directly support business goals.
Requirements
Must Have:
As a GCP and Python Data Engineer, you will work closely with cross-functional teams (marketing, digital, customer care, product, IT) to provide data-driven solutions that impact customer data, optimize processes, and build long-term customer relationships. You’ll be responsible for transforming raw data into meaningful insights and delivering reliable data pipelines that directly support business goals.
Requirements
- Design, implement, and maintain scalable and efficient data pipelines within the Google Cloud Platform (GCP) ecosystem, utilizing industry-standard tools such as Cloud Data Fusion, Cloud Composer, Python, and Dataflow.
- Optimize BigQuery tables and queries for performance, and use Cloud Functions for event-driven automation.
- Implement real-time messaging with Pub/Sub and ensure proper monitoring and alerting via Cloud Monitoring.
- Develop, manage, and optimize solutions for the company’s customer data systems, with a strong focus on maintaining data quality, synchronization, and orchestration for loyalty and credit data.
- Work in an Agile environment, applying SDLC principles and SCRUM methodologies. Utilize tools such as Jira, Confluence (Wiki), Bitbucket/GitHub, and Atlassian Bamboo for continuous integration/deployment.
- Ensure adherence to software security best practices and product scalability. Apply general data warehousing principles, maintain comprehensive documentation, and adhere to best practices in refactoring and testing to ensure system reliability and maintainability.
- Use Terraform for infrastructure automation and provisioning
- Require excellent communication and documentation skills, especially when communicating with business users.
Must Have:
- 3 years of hands-on experience in software development, with a Bachelor's degree in a relevant field of study.
- Strong knowledge of cloud technologies and distributed computing, specifically with Google Cloud Platform (GCP) or AWS.
- Experience with cloud-based big data analytics platforms like BigQuery, BigTable, Redshift, or Snowflake.
- Solid background and hands-on experience in Business Intelligence (BI), Data Warehousing, and ETL projects, including work with DWH appliances.
- In-depth experience with Python and SQL, foundational technologies essential for data processing and manipulation.
- Hands-on experience with ETL/ELT processes, managing large datasets, and building data pipelines.
- Experience using version control, CI/CD, and automation tools.
- Proficient in open source tools and technologies, and can use and extend them where appropriate to develop solutions.
- Excellent analytical skills, with a proven ability to troubleshoot, clean, and prepare data for analysis
- Experience with data quality and data cleansing.
- 401k
- Dental
- Vision
