Data Engineer
6 days ago
**About Axis**
- We believe that financial services should be more accessible, simple and fun. That's why we started Axis - an app that empowers consumers, solopreneurs, and small businesses with the digital financial tools they need to reach their potential.
- Join us if you want to be part of a team that obsesses day in and day out about building financial products that will have a real impact on the lives of millions of people.
**Overview of the Role**
- We are looking for a smart junior Data Engineer (1-2 years of experience) to join our team building high-performing, enterprise-grade data systems In this role, you will strive for efficiency by aligning data systems with business goals by:
**What you'll be doing**
- Uses different data warehousing concepts to build a data warehouse for internal departments of the organization.
- Creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data.
- Participates in the design of the logical data model and implements the physical database structure and constructs and implements operational data stores and data marts.
- Ensures data quality.
- Translates data access, transformation, and movement requirements into functional requirements and mapping designs.
- Be an efficient and supportive team member
**Requirements**:
- Proven SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Proven analytic skills related to working with unstructured datasets.
- Experience with relational SQL and NoSQL databases, including MySQL and MongoDB.
- Hands-on building and optimizing 'big data'data pipelines, architectures and data sets.
- Experience with big data tools: Hadoop, Spark, Kafka, etc is a plus.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Experience with data pipeline and workflow management tools:
Airflow, etc is a plus.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, etc.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Proven experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Good knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
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