Position: Data Analytics Engineer
Company: Growth Shop
Category: Data Science
Experience required: 5y
English level: upper

The Role
We're looking for a Data Analytics Engineer that can do the essential “Big Data” groundwork that provides the Solution Architect and Digital Analysts with what they need to do their jobs. This role will be responsible for developing and maintaining the databases and processing systems, they sort the relevant data form the irrelevant and structure accordingly. With the continuous advancements in technology, data is becoming ever more available to our clients and the Data & Analytics Engineer is crucial is creating the groundwork so they can be empowered to make the RIGHT business decisions. As a data engineer, you’ll be handling the design and construction of scalable management systems. You will need to ensure that all data systems are in compliance with company requirements as well as researching new ways to use the data. You should be on top of the industry best practices for data mining, algorithms, and essentially how data is used to inform business decisions. In order to be successful in this role, the data engineer should be open-minded and express patience as data engineering is about building the underlying infrastructure. We want to see candidates that are curious and always finding ways to improve and find efficiencies.

Responsibilities
Design, construct, install, test and maintain data warehouse solutions and/or management systems
Will work closely with Amazon Redshift or other data warehouse solutions in building the infrastructure
Collaborates with Digital Analysts and Solution Architects to improve data models to feed the BI tools, increase data accessibility and foster data-driven decision making across the team
Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity
Implements processes to monitor data quality, always ensuring data production accurate and available to the team and key stakeholders
Create documentation for integration tests and all executed work
Designs data integrations and data quality framework
Ensure that all data structures and systems are compliant with company requirements as well as industry standards
Install/update emergency backup data solutions

Your Experience
Bachelor’s degree in Computer Science, Software or Computer Engineering, Applied Mathematics or a technical related field
5+ years of Python or PHP development experience
5+ years of experience with schema design and dimensional data modeling
2-4+ years of SQL experience
3+ years of experience with AWS data warehousing and database management
BI tool experience/knowledge is a plus (i.e. Tableau or Power BI)
Can manage and communicate data warehouse plans to internal team and clients
Proven experience designing, building and maintaining data processing systems
Experience working with data warehouse solutions such as Amazon Redshift or Microsoft Azure
Fundamental understanding of digital marketing channels such as Website, Social, Search, SEO, Display, Email, etc.
Experience in consulting clients on best practice strategies for data storage/collection
Can manage projects from multiple clients at a single point in time
You’re punctual and find value in execution rather than ideas alone
You self educate and invest in your own personal growth...a self starter
You’re confident, express your opinions, but are completely open minded and care more about the right outcome vs just pushing your opinion
Working with clients and colleagues across multiple time zones
You’re not a 9-5 type

The Package
Great base salary with bonus
Annual self development budget (conferences, books, courses etc that are business or health/happiness/experience/random new skill related).
Flexibility to start/end the day when you want (adults should be treated like... adults)
Plenty of flexibility to work from home/remote
Travel to US/Europe/Asia
A sincere care from us to make this the most fulfilling role you’ve ever had