Medior Data Engineer

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KPMG Tanácsadó Kft.
Munkavégzés helye

Hibrid • Budapest

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- ANALYTICS SQL DATABASES. NOSQL PYTHON VBA C BI TABLEAU CLOUD AZURE MS OFFICE DOCKER DATA MANAGEMENT POWER BI DATA MANAGEMENT\ AGILE MACHINE LEARNING
Elvárások
- Angol felsőfok és
- Magyar anyanyelvi szint
- 1-3 év tapasztalat
- Egyetem

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Company info

We help our clients with industry-specific services to create value and manage risks. Our wide-ranging client portfolio enables you to gain real-life experience in industries such as telecommunications, energy, IT, finance or sports, and to work on ground-breaking projects.

What we offer:

Participate in diverse projects and get a hands on experience on various data technologies;
Work in close-knit, cohesive teams where members help one another to achieve a common goal;
Grow professionally and personally during your role via professional mentoring and several online and offline learning opportunities such as Udemy, Coursera or in-house technology workshops and trainings;
Have flexible working schedule with our hybrid office presence policy and respect for your work/life balance;
Get a competitive salary package with fringe benefits and health insurance (Medicover).

What we believe in and do jointly with You:

Experience with Master data managementgovernance tools e.g. Purview;
Experience with big data technologies;
Familiarity with Agile methodologies;
Knowledge of containerization and orchestration technologies like Docker and Kubernetes;
Conceptual understanding of Machine Learning use cases;
Azure certificates in topics of Data engineering, Data analytics.

What You would do at KPMG:

Proactively support the team with new ideas and solutions;
Support the design and development of scalable and reliable data pipelines to ingest, process, and store large volumes of structured and unstructured data;
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that meet business needs;
Support the development and maintenance of data models, schemas, and metadata regarding to data warehousing and data analytics initiatives;
Stay up-to-date with the latest trends and technologies in data engineering, continuously improving skills and knowledge;
Participate in cross-functional projects and initiatives, contributing data engineering expertise as needed.

What brings you aboard:

Bachelor's or Master's degree preferably in Computer Science, Engineering, Data Science, or a related field or Economics with strong IT affinity;
2-4 years of experience in data engineering, data warehousing, or big data;
Strong proficiency in SQL and experience with relational databases. NoSQL is an advantage;
Knowledge of least one programming languages such as Python, VBA, Scala or C#;
Familiarity with at least one data integration tool such as Data Factory, Synapse Analytics, Alteryx, SSIS, or Data management Platform e.g. MS Fabric, Synapse Warehouse;
Understanding of data modeling, data structures, algorithms, master data and transactional data concepts;
Familiarity with data visualization tool capabilities (e.g. MS Power BI, Tableau, Qlikview), report development in these tools is not a requirement, but the effective data preparation for reporting;
Knowledge of cloud data storage and processing platforms preferably MS Azure based;
Excellent problem-solving and analytical skills;
Ability to work independently and collaboratively in a team environment;
Strong communication skills, both written and verbal in English and in Hungarian;
Knowledge of MS Office tools;
Willingness to learn new technologies;
Can do attitude.