Position: Big Data Engineer
Company: Luxoft
Category: Data Engineer
Experience required: 3y
English level: upper

Project Description:
You will be responsible to make sure the standard solutions and services deployed integrate with the existing landscape in a proper and documented way.

Responsibilities:
-Analyze, design and implementing databases, information models and data pipelines.
-Building the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL or programming languages.
-Building analytics solutions that provide valuable insights for clients and end users.
-Work in an agile project team which has specific goals and deliverables.
-Translate business demands into architecture requirements.
-Responsible for providing technical support and / or leadership in the creation and delivery of technology solutions designed to meet customers’ business needs and, consequently, for understanding customers’ businesses.
-Shape technical direction and technical strategies within the organization and for external customers.
-Guide the project team members on specific deliverables.

Mandatory Skills Description:
• 4+ years of relevant working experience as a Data Engineer or in a similar role
• Technical expertise with data modeling and analysis
• Understanding of Data Warehouse, Big Data, ETL/ELT, Business Intelligence concepts
• Experience in Data Engineering, Data Wrangling and Preprocessing, Data Storage in Distributed File Systems, Microsoft SQL Server, Azure SQL, DataBricks/Spark,
• Knowledge of programming languages (Scala or Python)
• Experience in real-time data processing systems
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field

Nice-to-Have Skills:
• Certified Azure Administrator Associate, Certified Azure Data Engineer Associate, Certified Azure Data Analyst Associate or other equivalent.
• Experience in Cloud Computing, as well as Edge Computing with relevant Public Cloud IaaS and PaaS services, advantageous if with infrastructure architecture and best practices experience.