Data Engineer (AI)
Job Description
Join the Accenture’s Strategy & Consulting and participate on performance improvements of our clients’ business by applying digital technologies and data driven approaches across their enterprises.
Leverage our unmatched range of digital services (cloud, mobility, analytics, interactive, social, technology and business), develop transformational strategies and implement new technologies tailored for our clients’ needs just to help them to win on the market.
Once you’ll join the Accenture, you’ll become an integral part of a our forward-looking digital community. You will be able to collaborate and share ideas with a world-class global network of 40,000+ digital professionals who are passionate to innovate and develop new ways of delivering results to our clients.
As a Data Analytics Consultant, you will be implementing end-to-end analytical solutions and leading discussions with the client. You can look forward to:
Become part of an analytical scrum team and cover end-to-end delivery of BI dashboards & reports focused mainly on online customer's journey & overall performance of client's digital ecosystem.
Analyze business needs and work with business stakeholders to transform high-level business requirements into a design (mockup) of new BI dashboards. Shape the design to fit client needs.
Identify all inputs needed for development, assess potential risks and estimate effort. Work with other related teams to gather all required inputs for own development.
Govern and administer team's back-end infrastructure (DWH, VMs, code repository..) hosted on the Google Cloud Platform. Continuously work on infrastructure improvements to support product scaling.
Develop ETL/ELT data integration pipelines (mostly from REST APIs) and orchestration jobs for regular data loads. Maintain currently existing solutions developed in Python.
Design & create data marts. Transform TBs of raw data into data marts for use in reporting.
Develop BI dashboards in Google Data Studio and Microsoft Power BI. Manage already existing BI dashboards.
Review test cases & validate test results before new solutions are deployed to production
Create detailed product documentation. This includes both team's internal documentation and report end-user's documentation.
Co-create product backlog based on feedback from business stakeholders on existing BI dashboards or based on team's infrastructure improvements proposals
Present developed BI dashboards to business stakeholders & management.
Qualifications
Required skills:
Fluent English, and Czech or Slovak is a must.
Advanced knowledge of SQL (DML, DDL) is a must
Experience with ETL/ELT development in Python
At least basic knowledge of Linux commands and version control systems (git)
Overall knowledge of cloud platform architecture and their components (GCP, Azure or AWS)
Experience with Agile development practices (SAFE, Scrum)
Knowledge of web analytics (Google Analytics, Adobe Analytics) is an advantage
What we’re offering:
Opportunity to boost your functional skills and expertise in an area of specialization
Complex self-assessment of data science and AI knowledge in multiple areas of expertise with the possibility of certification with global recognition (Workera)
Extensive and personalized training programs based on unlimited access to Coursera training platform
Variety of interesting projects delivered locally or abroad
Remote work option (home office)
Attractive package of employee benefits