Data Engineer
Mức lương: Trên 30 triệu
Đã hết hạn nộp hồ sơ - 57 lượt xem
Ngày cập nhật: 05/11/2019
Thông Tin Tuyển Dụng
Mô tả công việc
The Customer Engineer is a critical function within the Datisan team working closely with our Australian based Customer Engineer and CTO on our clients GCP architecture and ecosystem integration.
● Develop technical solutions and write code for the extraction of data and the integration of disparate data sources
● Develop against platform APIs for integration in the GCP environment
● Product & data integrity testing
● Work closely with other team members to provide the best outcomes for our clients
Responsibilities
● Use cloud-first serverless approaches to solve client’s data ingestion, processing & storage needs
● Develop, construct, test, and maintain data ingestion & warehousing architectures
● Build high-performance algorithms, prototypes, predictive models and proof of concepts
● Discover opportunities for data acquisition and new uses for existing data
● Develop dataset processes for data modeling, mining and production
● Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
● Recommend ways to improve data reliability, efficiency and quality
● Supporting the CTO and CEO with technical presales activities
● Demonstrate prototype integrations for Google Cloud's products in customer/partner environments.
● Work with the CTO and CEO to prepare and deliver product messaging to highlight Datisan’s value proposition.
● Make recommendations on integration strategies, enterprise architectures, platforms and application infrastructure to successfully implement a complete solution, providing “best practice” advice to clients.
● Understand and translate complex business requirements into a functional technical architecture that can be implemented and activated by clients. Manage delivery of solutions by working collaboratively with Google GCP teams, Datisan teams, and delivery partners.
● Develop and maintain product knowledge about core competencies of Google technologies, and other industry technology solutions.
● Document the current state of the client’s technology and outline systems enhancements needed. Serve as technical leader for Datisan’s clients, with regards to Cloud Solutions.
● Develop deep business partnerships and trusted relationships with both partners and decision-makers at the C-suite level.
● Develop technical solutions and write code for the extraction of data and the integration of disparate data sources
● Develop against platform APIs for integration in the GCP environment
● Product & data integrity testing
● Work closely with other team members to provide the best outcomes for our clients
Responsibilities
● Use cloud-first serverless approaches to solve client’s data ingestion, processing & storage needs
● Develop, construct, test, and maintain data ingestion & warehousing architectures
● Build high-performance algorithms, prototypes, predictive models and proof of concepts
● Discover opportunities for data acquisition and new uses for existing data
● Develop dataset processes for data modeling, mining and production
● Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
● Recommend ways to improve data reliability, efficiency and quality
● Supporting the CTO and CEO with technical presales activities
● Demonstrate prototype integrations for Google Cloud's products in customer/partner environments.
● Work with the CTO and CEO to prepare and deliver product messaging to highlight Datisan’s value proposition.
● Make recommendations on integration strategies, enterprise architectures, platforms and application infrastructure to successfully implement a complete solution, providing “best practice” advice to clients.
● Understand and translate complex business requirements into a functional technical architecture that can be implemented and activated by clients. Manage delivery of solutions by working collaboratively with Google GCP teams, Datisan teams, and delivery partners.
● Develop and maintain product knowledge about core competencies of Google technologies, and other industry technology solutions.
● Document the current state of the client’s technology and outline systems enhancements needed. Serve as technical leader for Datisan’s clients, with regards to Cloud Solutions.
● Develop deep business partnerships and trusted relationships with both partners and decision-makers at the C-suite level.
Yêu cầu ứng viên
Minimum Qualifications
● Experience in big data, SaaS/PaaS/IaaS technologies, web development, DevOps infrastructure, enterprise networking, or virtualization/migration/configuration management.
● Experience working with Enterprise Clients, supporting complex technical challenges, identifying knowledge gaps and solutions to up-skill technical knowledge.
● Experience in developing Infrastructure As Code.
Technical Skills / Experience
● Fluent in a number of programming / scripting languages, namely:
○ Python
○ Javascript (NodeJS)
○ SQL
○ Shell scripting
● Deep understanding of event driven programming techniques (both locally & in distributed systems)
● Deep understanding of APIs - both creating & consuming
● Understanding of various data filetypes:
○ JSON (& ND-JSON)
○ CSV
○ Avro
● Deep understanding of data structures & data manipulation
● Deep understanding of cloud technologies
● Understanding of & experience with repeatable infrastructure (ie: infrastructure as code: Ansible, Puppet, Terraform, etc)
● Comfortable with Linux / Bash / Shell
● Understanding of containerisation (eg: Docker, Kubernetes, Docker-compose, etc)
● Understanding of distributed serverless technologies (eg: GAE, Cloud Functions, AWS Lambda, Google Data Flow, etc)
● Understanding of data warehousing
○ Scalable database storage systems & their use cases
○ ETL
○ ELT
● Understanding of the use cases & benefits / disbenefits of various database technologies:
○ Relational DBs (eg: MySQL, PostgreSQL, MSSQL, etc)
○ NoSQL DBs (eg: MongoDB, Elasticsearch)
○ Document data stores (eg: Elasticsearch, DynamoDB, Cloud Data Store, etc)
○ Bonus Points: Graph DBs (eg: Neo4J, OrientDB, MongoDB)
● Understanding of data preparation & transformation of data for various use cases including data science & marketing activation
● Experience with SaaS solutions, i.e., productivity/collaboration suites and distributed/scale out architectures on IaaS and PaaS on public cloud.
Nice to have Technical Experience
● Exposure to Google Cloud Platform
● Good understanding of marketing systems & workloads
○ Martech stacks
○ Data processing for martech
● High-level Understanding of Machine Learning basics:
○ Feature Engineering
○ Training & Evaluation
● High-level understanding of statistics & data preparation for data analysis
● Understanding of orchestration systems such as Apache Airflow / Cloud Composer
● Bonus point: Google Cloud Certified Data Engineer or Google Cloud Certified Cloud Architect Certification (if you don’t have this, we will help you get it as soon as possible after you start)
What WE offer
● A pathway to development of your data engineering skills
● Working on new developments in data science and machine learning.
● Working with enterprise, corporate and government clients
● Start up vibe with the backing of years of industry experience.
● Flexible work hours - everyone has stuff on outside of work, serve your clients (internal & external), get stuff done and come and go as you please outside of that!
Behavioural Competencies
● Highly motivated and delivery focused
● Demonstrated ability to interact positively and constructively with internal stakeholders and partners.
● Ability to successfully manage multiple streams of work in a high-pressure environment.
● Agile mindset with a focus on value driven iterative solutions.
● Ability to communicate with stakeholders and team members.
● Strong sense of ownership and accountability.
● Team player and thrives in a high pace environment.
***Benefits:
- International and multicultural working environment.
- Very attractive salary.
- Flexible working hours, 8 hours/day, Monday - Friday.
- Opportunities for learning and career advancement.
● Experience in big data, SaaS/PaaS/IaaS technologies, web development, DevOps infrastructure, enterprise networking, or virtualization/migration/configuration management.
● Experience working with Enterprise Clients, supporting complex technical challenges, identifying knowledge gaps and solutions to up-skill technical knowledge.
● Experience in developing Infrastructure As Code.
Technical Skills / Experience
● Fluent in a number of programming / scripting languages, namely:
○ Python
○ Javascript (NodeJS)
○ SQL
○ Shell scripting
● Deep understanding of event driven programming techniques (both locally & in distributed systems)
● Deep understanding of APIs - both creating & consuming
● Understanding of various data filetypes:
○ JSON (& ND-JSON)
○ CSV
○ Avro
● Deep understanding of data structures & data manipulation
● Deep understanding of cloud technologies
● Understanding of & experience with repeatable infrastructure (ie: infrastructure as code: Ansible, Puppet, Terraform, etc)
● Comfortable with Linux / Bash / Shell
● Understanding of containerisation (eg: Docker, Kubernetes, Docker-compose, etc)
● Understanding of distributed serverless technologies (eg: GAE, Cloud Functions, AWS Lambda, Google Data Flow, etc)
● Understanding of data warehousing
○ Scalable database storage systems & their use cases
○ ETL
○ ELT
● Understanding of the use cases & benefits / disbenefits of various database technologies:
○ Relational DBs (eg: MySQL, PostgreSQL, MSSQL, etc)
○ NoSQL DBs (eg: MongoDB, Elasticsearch)
○ Document data stores (eg: Elasticsearch, DynamoDB, Cloud Data Store, etc)
○ Bonus Points: Graph DBs (eg: Neo4J, OrientDB, MongoDB)
● Understanding of data preparation & transformation of data for various use cases including data science & marketing activation
● Experience with SaaS solutions, i.e., productivity/collaboration suites and distributed/scale out architectures on IaaS and PaaS on public cloud.
Nice to have Technical Experience
● Exposure to Google Cloud Platform
● Good understanding of marketing systems & workloads
○ Martech stacks
○ Data processing for martech
● High-level Understanding of Machine Learning basics:
○ Feature Engineering
○ Training & Evaluation
● High-level understanding of statistics & data preparation for data analysis
● Understanding of orchestration systems such as Apache Airflow / Cloud Composer
● Bonus point: Google Cloud Certified Data Engineer or Google Cloud Certified Cloud Architect Certification (if you don’t have this, we will help you get it as soon as possible after you start)
What WE offer
● A pathway to development of your data engineering skills
● Working on new developments in data science and machine learning.
● Working with enterprise, corporate and government clients
● Start up vibe with the backing of years of industry experience.
● Flexible work hours - everyone has stuff on outside of work, serve your clients (internal & external), get stuff done and come and go as you please outside of that!
Behavioural Competencies
● Highly motivated and delivery focused
● Demonstrated ability to interact positively and constructively with internal stakeholders and partners.
● Ability to successfully manage multiple streams of work in a high-pressure environment.
● Agile mindset with a focus on value driven iterative solutions.
● Ability to communicate with stakeholders and team members.
● Strong sense of ownership and accountability.
● Team player and thrives in a high pace environment.
***Benefits:
- International and multicultural working environment.
- Very attractive salary.
- Flexible working hours, 8 hours/day, Monday - Friday.
- Opportunities for learning and career advancement.
Quyền lợi được hưởng
- Very attractive salary
- International and multicultural working environment
- Opportunities for learning and career advancement
- International and multicultural working environment
- Opportunities for learning and career advancement
Cách thức ứng tuyển
Hồ sơ theo yêu cầu của nhà tuyển dụng khi liên hệ trực tiếp
Giới thiệu về công ty
DATISAN
Người liên hệ: HR Department
Người liên hệ: HR Department
Who is Datisan • Datisan is a marketing modernisation company • Our mission is to help modernise marketing and customer experience • Our tools, technologies and talent empower marketers and cross functional teams to unleash their full potential • We help corporate and enterprise clients bridge the gap between IT ...Chi tiết
Who is Datisan • Datisan is a marketing modernisation company • Our mission is to help modernise marketing and customer experience • Our tools, technologies and talent empower marketers and cross functional teams to unleash their full potential • We help corporate and enterprise clients bridge the gap between IT & marketing to align martech with core IT strategy for accelerated business growth via audience activation • Bolstered by a unique partnership with Google, we provide audience strategy & activation, marketing analyticsand cloud marketing solutions Our Core Values Our seven values power our days. They’re what we’re all about. They’re our connection. They’re our DNA. Together, they inspire our daily interactions with each other, clients, suppliers, partners and other people. That’s how we roll. ● Life Balance- We're grateful, energised team that loves what we do and are deeply invested in becoming the best, in all aspects of our lives. ● Think Big- We believe there’s limitless opportunity to innovate, create, collaborate and inspire a ripple effect of impact. ● Own your journey - There are many paths to life, but only one journey. We own our path, our decisions and our outcomes – no matter the result. ● Swim Upstream- We’re never drifting with the tide, we’d much sooner swim upstream and bravely challenge the norm. ● Pay it Forward- We strive to always add, not take away and believe that our expertise must be shared, not stored. ● Step Up- We’re here to push boundaries, take charge and deliver our expertise, because opportunities don’t wait for anyone ● Forever Learning- We’re here to experiment and explore new ground, while our curiosity pushes us to reach for unknown realms of knowledge. Ẩn chi tiết
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Data Engineer
Mức lương: Trên 30 triệu | Hạn nộp hồ sơ: Đã hết hạn nộp hồ sơ