Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
Analysis of existing designs and interfaces and applying design modifications or enhancements.
Providing insights and resolution for ad-hoc issues raised by Sandbox users
Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.
Providing reporting-line transparency through periodic updates on project or task status.
Requirements
Bachelor’s/Master’s Degree in Computer Science, Mathematics or a related discipline.
Min 5-7 years of experience in software development.
Experienced with the technical analysis and design, development and implementation of Data Lake and cloud solutions.
Hands on experience in Hadoop and cloud technologies; strong RDBMS concepts and SQL skills.
Experience in Data Analytics tools preferably with DataIKU.
Strong UNIX Shell scripting or Python experience to support data warehousing solutions.
Experience in optimizing large data loads.
Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach.
Proven teamwork in multi-site/multi-geography organizations.
Ability to multi-task and function efficiently in a fast-paced environment.
Self-starter with flexibility and adaptability in a dynamic work environment.
Should have ability to perform the root cause of Issues and be able to design solution as required.
Ability to gather user requirements, interface with business partners as required.
Complete team accountability: deliverables, discipline, consistency .
Excellent problem solving and analytical skills.
Excellent verbal and written communication skills.
Hungarian citizenship and fluent Hungarian/English language skills is a must
Advantages:
Experience with detailed Error/Exception handling and Data Validation issues.
Experience with common data science tools Tableau, Business Object, and a good understanding of modelling platforms i.e. Data bricks.
Strong understanding of Data warehousing domain.
Ability to architect anETL solution and data conversion strategy - knowledge of different ways of Hadoop/Cloud processing Performance Optimization.
Experience in Agile methodology - Experience in Developing, managing, and maintaining data dictionary and or metadata.
Benefits
You will have the opportunity to gain experience in exciting, long-term, innovative projects,