Position: Data Engineer
Company: Matrix
Category: Data Analyst
Experience required: 2y
English level: upper
Published: 2023-02-01T00:00:00+02:00

If you are looking for stability, professional growth, long-term career, and technology challenges in the sought-after companies – come and join us today!

Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 10,000 professionals, is looking for a Data Engineer to join one of our teams-Gett!

Location - **POLAND!**

Here is our offer:

• Additional 20 days of paid leave 
• Remote work and flexible working hours 
• Professional and career benefits 
• Top-quality work environment 
• Online courses
• Online sports activities 
• Team Buildings and Christmas Parties 

Gett is a Ground Transportation Solution with the mission to organize all the best mobility providers in one global platform with great UX - optimizing the entire experience from booking and riding to invoicing and analytics, to save businesses time and money. They work with a third of the Fortune 500 companies and have over 17K active business customers worldwide.

**Responsibilities:**
● Building the next generation of the Data Warehouse, moving from old and legacy models into more robust.
● Building new ETL pipelines and bugfix old ones.
● Improve data quality and ingestion; identify the root cause of data issues and provide resolution ensuring accuracy and trust in everything we build.
● Ensure that the local data needs are taken into account by the global BI team.
● Debug reports or automatic Python scripts and ensure the reporting server infrastructure connects correctly to our main data sources.
● Contribute to pieces of analysis to inform business decisions.

**Requirements:**
● Minimum 2 years of experience in software development/data engineering/business intelligence;
● Strong experience in data modeling, ETL development, and data warehousing;
● Experience with Python.

**Advantages:**
● Big data technologies (Spark , Hive, Spark, Presto, Airflow) 
● Experience working with AWS big data technologies (S3, EC2, EKS) 
● Knowledge in containerized environments (Docker, Kubernetes) 
● Knowledge of infrastructure and DevOps (CI/CD, Terraform)