Cloud Data Engineer - GCP BigQuery Specialist
Remote US
DoiT International
At DoiT International, we believe the cloud transforms the way we build technology, and we are on a mission to help companies, big or small, go through this transformation.
We are a team of cloud professionals who love working with other people to solve challenging technical problems. We are committed to personal development and enjoy sharing our knowledge and experience through blogging, training, public speaking, and contributing to open-source.
We work hands-on, side-by-side with our customers to educate, mentor, advise, and solve problems to make sure they are getting the most out of what the cloud has to offer.
We are looking for people to join us on our mission and share the honor and delight of being able to help companies to realize their ideas into successful products.
Want to join us?
From experience, the ideal candidate will have:
- Significant experience in designing, developing, and troubleshooting large production-grade data systems on Google Cloud Platform and being able to select the appropriate tools to solve business problems
- Strong proficiency in writing SQL and BigQuery SQL tuning
- Expert-level knowledge of BigQuery and be able to optimize usage of it
- Proven track record in architecting performant and highly-scalable data systems
- Understanding and experience implementing various architectural patterns in creation of data warehouse or data lake architectures
- Great verbal and written communication skills
Preferred (not required):
- Experience in designing and implementing data solutions on Snowflake, Redshift, Oracle, Teradata, SQL Server, or other data warehouse solutions
- Experience integrating BigQuery and Looker or other BI visualization tools
- Experience with ETL tools such as Apache Beam, Apache Airflow, SSIS, or others
- Experience in writing software in one or more languages such as Java, Python, Go
- Experience with GCP AI and ML platforms
- Google Certified Professional Data Engineer
Sounds like you?
Here’s a little more info about us and our culture...
DoiT International is a world-leading cloud advisory company, Google Cloud’s top partner and Amazon Web Services Premier Partner. Our mission is to enable customers to harness the power of the public cloud at peak efficiency so they can focus on building the best products for their own customers.
Our core values guide us in creating a diverse team, a welcoming and supportive working environment, and a stellar employee experience with plenty of opportunities for personal and professional development. Challenging work, continuous learning, opportunities for promotion as we continue to scale, and a remote-first culture rooted in communication, transparency, and trust help us to attract and retain some of the best talents in the industry and we would love for you to join us on our mission.
Target Location: Anywhere in the United States or Canada. We’ve created a remote first culture that thrives in a virtual environment so you have the resources you need to connect with talented people around the world.
We put our team first and provide great benefits & perks such as:
- Up to 100% paid health insurance
- Employee Stock Option Plan (ESOP)
- Genuine unlimited PTO policy
- Flexible working hours and a focus on maintaining a healthy work-life balance
- We encourage you to spend 30% of your work time learning new skills and working on your professional development
Sounds like you?
- Check out our live stats page to learn more about the technologies we use to support our customers
- Dig into some real-world examples of the types of issues we solve and learn more about open-source tools we have developed along the way
#LI-Remote
Tags: Airflow Architecture BigQuery Data warehouse ETL GCP Google Cloud Looker Machine Learning Oracle Python Redshift Snowflake SQL SSIS Teradata
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open NLP-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs