COMPANY ENVIRONMENT
Adaptiv is the leader in data and integration consulting and development in NZ, delivering innovative solutions to meet our clients’ needs through cloud-based services. We employ the best of the best in the industry which makes it easy to support our staff in gaining the skills necessary to become integration experts.
No two days are the same, and while we provide complex solutions for some impressive clients, we know when to switch off and have fun. With no office politics, an excellent company culture and a modern rooftop office (BBQ anyone?), this kind of opportunity does not come around often.
POSITION SUMMARYThe AWS Data Engineer position is a critical role as it provides data consulting across the Company’s partner businesses (clients). The position is responsible for assisting with the design, implementation, review, and updates of the Company’s IT solutions. This is a varied position with exposure to data technologies both on-premises and on AWS.
This position will be required to work on multiple projects at any one time and balance workload accordingly. The role is required to use tools and techniques related to cloud development in a dynamic, constantly changing environment.
This position is highly responsive to the requests of clients with work priorities largely influenced by these stakeholders.
SIGNIFICANT WORKING RELATIONSHIPS
Internal
· Managing Director
· Support Team
· General Manager
· Executive Management Team
· Architecture Team
· Development Team
· Sales and Marketing Team
· Human Resources Team
· Finance Team
· Infrastructure Team
· Data Practice Lead
External
· Clients
· Suppliers and Vendors
POSITION RESPONSIBILITIES
Data Engineering
Deliver data solution architecture for clients (data lakes, cloud data warehouses, data enhancement via machine learning APIs)
Be part of a team on larger scale deployment and deployments
Lead in the development and implementations of the company’s data engineering solutions on AWS
Undertake hands-on development for client projects
Provide guidance and demonstrate best practices when delivering solutions
Understanding of modern data platforms (cloud or on-premises)
Most of the work will be done using tools of the trade (AWS Glue). Knowledge in both SQL and Python required.
Experience with AWS data analytics services
Data Architecture
Provide consultancy services to our customers
Develop principles and policies for development of a data lake, cloud data warehouse (CDW), machine learning
Continuous Integration and Infrastructure as Code
Experienced in use of industry-leading CI/CD platforms such as Git, Cloud Formation, AWS CDK and IaC
Can design and implement full CI/CD pipelines for a data solution
Integration Testing
Build test driven practices utilising best of breed frameworks for unit and integration testing
Test and UAT environment provisioning for clients
Cloud Integration
Create and design compelling architectural blueprints to deliver value to our customers
Complete independent vendor evaluation
Implement data engineering and machine learning solution on the AWS technology stack
Implementation assistance on current projects
Implement proof of concept prototypes
Training
We will provide access and support to any data engineering training needs on any platforms (GCP, Azure, AWS). You will be able to choose your own path.
Getting certified is highly encouraged
Continuous Improvement
Identify and propose development and architectural improvements to existing systems
Identify and introduce industry best practice standards in all projects, work requests and responsibilities
Seek to educate team members and stakeholders about best practice where appropriate
Work with partner businesses/clients to help drive “thought leadership” on data and cloud architecture
Constantly up skill on latest technologies to remain at the forefront of service delivery
Assist with driving Adaptiv’s thought leadership via social media
Work Planning & Management
Manage daily tasks and projects to ensure work is completed consistent with assigned priorities and deadlines
Assist in evaluating work requests on a technical, architectural and consistency level to provide feedback to stakeholders on viability
Participate in planning meetings as required
Initiate and attend meetings with team and stakeholders to give timely updates on work progress and resolution of issues
Report progress to team and Project Coordinator as appropriate.
Assist the executive team with presales and project establishment
Occupational Health & Safety
Responsible for taking reasonable care to ensure own health and safety at work, and to avoid adversely affecting the safety or health of any other person at work
Ensuring adherence to organisation-wide policies, procedures and monitoring the compliance of all team members
Responsibilities on Demand
Due to the fluid and dynamic environment within the group, new, additional, or amended position responsibilities may be required at any time
Successful demonstration of change orientation is an ongoing responsibility of all positions
KEY RESULT AREAS
Act as a subject matter expert in data engineering and AWS data technologies.
Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from AWS.
Work with Agile and DevOps techniques and implementation approaches in the delivery.
Showcase your AWS Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
Build and deliver Data solutions using AWS products and offerings.
Willingness to learn and upskill yourself on other cloud platform (GCP, Azure). Getting certified is highly encouraged!
Represent the Adaptiv brand on the turf and help us deliver projects on time and on budget
Co-own and build our AWS community, contributing in the knowledge exchange learning programme of the platform either via blog posts, LinkedIn articles, conferences and roadshows
PERSON SPECIFICATION
Qualifications
At least 5 years of professional experience in a consulting environment on a cloud Platform with a focus on AWS.
University degree not necessarily required as we believe more in people than diplomas. Experience matters more.
Ideally you should at least have one valid and active AWS certification
Skills
Hands on and deep experience building Data Analytics solutions on AWS (e.g. Redshift, RDS, Aurora, DynamoDB, Glue, Athena, S3, SNS, SQS, Lambda, QuickSight, Cloud formation, AWS CDK and IaC).
Experience in Spark (Scala/Python/Java) and Kafka.
Experience architecting and building Data Lakes on AWS (S3, Glue)
Experience building data models in a CDW (Redshift) based on Start Schemas, Wide Tables (or OBT).
Experience working with AI/ML as a service
Knowledge in MDM, Metadata Management, Data Quality, Data Lineage tools and more generally in Data Governance.
End to End Data Engineering and Lifecycle (including non-functional requirements and operations) management.
Regulatory and Compliance work in Data Management.
End to End Solution Design skills - Prototyping, Usability testing and data visualization literacy.
Experience with SQL and NoSQL modern data stores.
Knowledge in both SQL and Python
Experience with AWS data analytics services
Experienced in use of industry-leading CI/CD platforms such as Git, Cloud Formation, AWS CDK and IaC
Personal Competencies & Attributes
Excellent communication skills both verbal and written
A strong eye for detail
Self-managing with a highly motivated and results driven approach
Sense of urgency, can-do and proactive attitude
Ability to juggle multiple tasks and deadlines
Excellent relationship/interpersonal skills
Ability to think outside the box and demonstrates sound problem-solving mindset
Flexible and adaptable
Complete professionalism
Sense of humour
Our offer
Competitive remuneration package
With us, the focus in HR is more on the Human than the Resources
Casual Friday morning tea and early evening nibbles drinks are on us
You choose your weapon: either a MacBook Pro or a Windows workstation
Your mobile subscription is on us
A central office in the heart of Ponsonby and Grey Lynn
If you’ve got a dog, bring it to the office!
Access to AWS certification trainings and exams
#J-18808-Ljbffr