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At Stomble we're an exciting startup looking for a highly experienced Data Engineer to join our team. We are a small startup bootstrapping our way forward with a group of eager engineers and designers already with a high level of ambition to build and deliver our MVP product to the world.
Stomble is creating, developing and building infrastructure that will eventually support Solo entrepreneurs, startups and small businesses within Australia and eventually have a global reach. Our mission here at Stomble is to use innovative solution to increase economic opportunity for businesses globally.
We are seeking a skilled Data Engineer with expertise in Azure technologies to join our dynamic team. You will play a crucial role in developing, optimizing, and overseeing our company's data systems and infrastructure, ensuring efficient data flow and storage to support our advanced analytics solutions.
We are looking for a talented person who is willing to donate a portion of their time, consult or work alongside us to help implement strategies to implement data analytics. You will be a part of the founding team assisting us launch our data analytics infrastructure that is powered by AI.
Key Responsibilities:
* Analyze and organize raw data.
* Build data systems and pipelines.
* Evaluate business needs and objectives.
* Interpret trends and patterns.
* Conduct complex data analysis and report on results.
* Prepare data for prescriptive and predictive modeling.
* Build algorithms and prototypes.
* Combine raw information from different sources.
* Explore ways to enhance data quality and reliability.
* Identify opportunities for data acquisition.
* Develop analytical tools and programs.
Preferred Skills and Qualifications:
* Experience in a Data Engineering role, preferably in an Azure environment such as Azure Data Factory (ADF).
* Advanced working SQL knowledge and experience working with relational and non-relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
* Experience with Python, PySpark and SQL.
* Knowledge in Vector DB's such as Cosmos, Pinecone, Fabric, GitHub and Azure DevOps.
* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvements.
* Strong analytics skills related to working with unstructured datasets.
* Technical expertise with data models, data mining, and segmentation techniques.
* Experience or knowledge with data pipelines: designing, developing, and maintaining scalable pipelines and architectures.
* Understands and has experience writing ETL modeling.
* Strong with data integration and data warehousing.
* Understanding of Machine learning processes.
Limitations of the position:
* Applicant must be located within Australia.
* This role is unpaid unfortunately as we have not generated any revenue or raised any capital.
* We are unable to sponsor applicants at this time.
* Position is fully remote.
If this sounds like you, we'd love to hear from you
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
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