Overview
Data Technology Consulting Team - Multiple Opportunities - Katowice
Join to apply for the Data Technology Consulting Team - Multiple Opportunities - Katowice role at EY
Location : Katowice - 2 days in office / 3 days remote
Let us introduce you to the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY. The opportunity includes joining the Data team within EY GDS Technology Consulting and participating in international projects.
Responsibilities
- Data Visualization : utilize various tools to provide a holistic view of key business areas. Present data graphically using charts, gauges and plots. Develop reports and analytical tools requiring complex queries with multiple joins and aggregations as well as data pre-processing.
- Big Data Engineers, Architects : build data platforms at scale; understand distributed processing and troubleshoot components. Develop and integrate complex jobs across data platforms.
- Data Scientists, Data Governance : combine computer science, maths / statistics and domain knowledge; implement state-of-the-art models and ensure end-to-end delivery. Familiar with AI frameworks and NLP.
- Cloud Data Engineers, Architects : design, deploy and manage data architecture; ensure data access across the lifecycle from creation to serving. Understand traditional to modern distributed systems and cloud technologies.
- Work with data warehousing, data pipelines, distributed processing, data modeling concepts and a variety of data sources (RDBMs, NoSQL, timeseries, APIs, data lakes, DWH, message queues).
Qualifications
Experience with databases and data warehousing systems (e.g., MS SQL, PostgreSQL, Oracle).Design and data modeling skills.Knowledge of modern data integration tools (Azure Data Factory, Informatica, Talend).Ability to present data visually using BI tools (Power BI, Tableau, QlikView, SAP Business Objects).Experience in writing complex SQL (T-SQL / PL / SQL).Experience with one or more languages (Python / PySpark, R, Scala, Java, SQL).Experience with structured, semi-structured and unstructured data; ability to orchestrate, monitor and troubleshoot distributed pipelines.Knowledge of diverse data sources and sinks (RDBMS, NoSQL, timeseries, APIs, data lakes, DWH, message queues / service buses).Familiarity with AI / ML frameworks and platforms (TensorFlow, PyTorch, Scikit-Learn; SageMaker, AzureML, MLFlow, Kubeflow).What We Offer
Continuous learning : develop the mindset and skills to navigate whatever comes next.Success as defined by you : tools and flexibility to make a meaningful impact, your way.Transformative leadership : coaching and confidence to lead.Diverse and inclusive culture : be embraced for who you are and empowered to help others.About EY
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The Exceptional EY Experience. It’s Yours To Build.
In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.
Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information TechnologyProfessional Services#J-18808-Ljbffr