Description & Requirements
Who we are looking for

• Team-player who can also work independently;
• Experience in Data Management / Data Integration / ETL;
• Solid understanding of Data Modelling (Kimball/Inmon/Data Vault);
• Strong SQL is a must, PL-SQL is a plus;
• Working experience with at least one ETL tool (ADF, Informatica, SSIS, DataStage, ODI, Talend, Pentaho, Ab Initio, etc.);
• Azure/AWS/GCP data engineering experience is a plus;
• Experience with Python/PySpark, Databricks/Snowflake is a plus;
• Good communication skills with the ability to develop strong client relationships;
  

Your future role

• Contribute to the full development cycle of complex cloud-based Data Platforms;
• Drive change by staying up to date with the latest tools and technologies;
  

What we offer

• Fast-paced working environment within geographically distributed teams;
• Greenfield projects! Opportunity to design innovative, modern solutions;
• Exposure to wide variety of cutting-edge technologies and frameworks;
• Chance to get involved and drive prototype projects (frameworks, engines, etc.) as part of our Data & Analytics practice;
• Trainings! We encourage you to attend as many as possible and conduct some to help your colleagues grow while developing your skills;
  

About Deloitte
Deloitte Technology Delivery Center provides IT technology services to Deloitte Member Firm clients across Europe, the US, the Middle East and Africa. We are part of a strongly integrated global network of Deloitte Delivery Centers. Our methods, breadth and depth in capabilities, and experienced teams uniquely position us to deliver solutions, services and projects that traditionally would have been completed onshore.
We have expertise in multiple capabilities across Business Operations (Systems Delivery & Modernization, Cloud & Engineering, Operations Transformation ), Customer & Marketing (Marketing & Commerce, Digital Customer, Digital Foundry & Operations ), Enterprise Tech & Performance (SAP, ServiceNow, Anaplan ), Human Capital (HR Transformation, Organizational Transformation), and Strategy, Analytics and M&A (Data Modernization & Analytics, AI Insights and Engagement).
Show more
Show less