Data Engineer (offline)

Project Description:
We are establishing brand new Data Analytics team for global range customer from retail area.
In essence, client is leveraging the Azure PaaS platform with all kind of (business) data to build an advanced analytics platform aiming at delivering better insights and applications to the business.
The platforms are continuously being enhanced to support (additional) CI/CD and validated learning environment for science, machine learning and AI capabilities for all areas customer-facing like digital omni-channel interaction and commerce, commerce relevance, personalisation, loyalty and marketing and non-customer-facing like assortment optimization, supply chain optimization, external parties and IoT.
We will be working on end to end functionality including architecture, data preparation, processing and consumption by systems.

Responsibilities:
As Data Engineer you'll be working with alongside data architects to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. You will be creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs.

You will be the go-to person for end-to-end data handling, management and analytics processes.

You will:

• Ingest data-sources into our data management platforms
• Structure data into a scalable and easily understood architecture
• Work in a multi-disciplined team where you'll turn data discoveries and ideas into models and insights. You'll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
• Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
• Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.

Mandatory Skills Description:
Essential Experience Required

- Python/Pyspark
- Azure Databricks (it's not mandatory if candidate knows Pyspark)
- SQL
- Industrial experience in the domain of large-scale data management, visualization and analytics


Other qualifications
- Basic knowledge in Azure Data factory.
- MSc in a computational field or another relevant area
- Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
- Expertise in advanced data modelling
- Experience with Microsoft data management tools and the Azure platform environment
- Curious, proactive, fast learner able to quickly picking-up new areas
- Experience with agile methodologies
- Perfect communication skills
- Hands-on!
- Can Do approach!

Nice-to-Have Skills:
• Working on cloud-based big data solutions using Hadoop/Spark;
• SSAS cube development;
• Enterprise BI reporting - Power BI;
• Azure DevOps - CI/CD.

About Luxoft

Luxoft (NYSE:LXFT) is a global consulting partner that offers end-to-end digital solutions to solve clients’ complex business challenges.

We are a new class of digital service provider that combines consulting, strategy, and engineering at scale. We use this to drive business change by applying engineering excellence, deep domain expertise, and our senior software engineering talent to improve your client’s customer experience, boost your operational efficiency, and strengthen your competitive advantage.

We have expertise in automotive, financial services, healthcare, life sciences, telecommunications, and other industries. As a highly committed partner, we take customer challenges as our own. Our dedication stems from a passion for technology and a bespoke attention to your needs.

With over two decades of consistent, timely delivery and management of complex projects, we now serve over 280 active clients. With our headquarters in Zug, Switzerland and 42 global locations, we operate in 21 countries across five continents, providing you with robust global delivery platform. With about 12,700 employees, we have the best technology talent to support your business needs.

Company website:
https://www.luxoft.com/