Company Background
The customer specializes in creating digital foundations that improve business operations and enhance performance. Using their expertise in cutting-edge insights and innovative strategies, they assist leaders in designing and implementing complex solutions to improve financial and operational performance, and not just survive but thrive.
Project Description
As a Data Engineer, you’ll be responsible for development of data pipelines to ingest, store and transform data for data analytics and system integration.
What You’ll Do
● Work with project leaders to translate requirements into high quality data-oriented solutions;
● Collaborate with project team to understand tasks to model tables using data warehouse best practices and develop data pipelines to ensure the efficient delivery of data;
● Work with project leaders to model tables using data warehouse best practices, and develop data pipelines to ensure the efficient delivery of data;
● Think and work agile, from estimation to development, including testing, continuous integration, and deployment;
● Manage numerous project tasks concurrently and strategically, prioritizing when necessary;
● Proven ability to work as part of a virtual team of technical consultants working from different locations (including offshore) around project delivery goals.
Technologies
● Python
● Synapse and Spark
● Azure DB
● SQL Server/T-SQL
● Git (version control)
● Azure Data Bricks
Job Requirements
● 3+ years of experience with Azure DB and SQL Server/T-SQL;
● Certification Azure-104;
● Exposure to technologies such as Azure Data Lake storage, Synapse and Spark;
● Experience with Azure Data Bricks;
● 3+ years of experience in developing data warehouses and data-marts;
● 4+ years of experience in implementations using Agile methodologies;
● Experience in developing with Azure Logic Apps;
● Familiarity with security configuration and security policies, and best practices within a cloud environment;
● Experience in developing Azure Data Factory pipelines to orchestrate ingestion and transformation data for use in analytics and system integration;
● Experience working with Git version control;
● Level of English — from Upper Intermediate (spoken/written);
Desired Skills
● Azure Data Engineer Associate Certification;
● Exposure to technologies such as Azure Data Lake storage, Synapse and Spark;
We offer you
● Opportunity to share experiences at internal meetings and conferences
● 100+ technical and non-technical training for development and broadening of horizons
● Career growth and development
● 15 sick leave are fully compensated
● 18 working days of paid leave
● IT Club Loyalty program gives a lot of discounts and bonuses
● English courses
● Remote work
● Team sports activities, and corporate events
Join us!