The Data Journey is On! Join. Learn. Grow.

We’re looking for the Data & Analytics Architect to join Global Customer team. The person will provide the Architecture and Delivery guidance to the selected list of the existing Accounts.

At least 7 years of experience with SAP BW and ABAP for BW, including focus on data modelling of complex scenarios (including mixed scenarios of SAP BW and SAP HANA), performance optimization.

Minimum 6 years of hands-on experience in PowerBI development, dashboarding and data modeling and visualization techniques. 

At least 4+ years of professional experience. Strong Python coding skills, including using ML libraries.

4+ years of experience in an Azure Developer role or equivalent Data Engineering with significant exposure to Azure. Proven experience with Azure cloud services (ADF, Databricks, Synapse, Logic Apps etc.), knowledge of other clouds is an asset.

10+ years of professional experience in the Data & Analytics area. 2+ years of experience in the Architect or Senior Consultant role.

At least 5 years of experience as a Software Tester or similar role. Good grasp of ETL/DWH and BI reports concepts and backend testing.

Minimum 4 years of hands-on experience in PowerBI development, dashboarding and data modeling and visualization techniques. Experience in application designing, architecting, development and deployment using PowerBI.

At least 3 years of hands-on experience in cloud data engineering (preferably Azure or AWS). Strong proficiency in SQL and Python.

3-5 years of data analytics, business analysis, BI development, or similar experience. Strong knowledge of relational databases and SQL.

6+ years of professional experience in the Data & Analytics area.4+ years of experience in an Azure Developer role or equivalent Data Engineering with significant exposure to Azure.

Developing Java data-oriented cloud-based enterprise solutions and related frameworks/libraries. Developing application APIs.

Bachelor's degree in Computer Science or related field. At least 3+ years of experience as a Python Developer. Good understanding of Object-Oriented Programming (OOP) principles.

10+ years of professional experience in the Data & Analytics area. 2+ years of experience in the Architect or Senior Consultant role with a strong focus on AWS data solutions. Good understanding of business processes and the ability to drive automation through effective management.

Min 2 years of experience in DevOps related activities, including setting up Disaster Recovery, CI/CD. Good knowledge of coding/scripting (Java, Phyton, PowerShell) and DevOps (Terraform, CI/CD) from previous experiences.

Experience with GCP (Big Query) At least 4+ year of experience with SQL. Experience with Looker Studio (formerly Google Data Studio) and/or Power BI.

Experience working with Linux and Windows platforms. Good understanding of cloud computing concepts (IaaS, PaaS, SaaS). Working knowledge of cloud services administration, preferably Azure (like: Storage, Azure SQL, Azure ADF, Kubernetes)

You will be a part of the team responsible for technical design & building a nonstandard, customer-designed data warehouse and reporting solutions.

We are seeking a highly skilled and experienced Cloud Data Engineer proficient in Microsoft Azure and/or other cloud platform – AWS preferably as well as experience in modern data transformation tools like dbt and Databrick to join our dynamic team.

Acting as a Scrum Master on a project.Leading couple of Scrum Teams in Scaled Agile Framework® (SAFe®).

Strong understanding of data modeling concepts and techniques, such as entity-relationship modeling, normalization, and dimensional modeling. Candidate should be able to design and implement data structures that are optimized for storage and retrieval.

Proven experience in project management in Agile and Waterfall projects, min. 5 years. Leading big projects, at least 10 people. Knowledge of IT industry at a level that allows for free communication with the IT team.

At least 4 years of experience in Data Science or AI Engineering. At least 1 year of experience in relevant technology trained.

Minimum 4 years of hands-on experience in Alteryx (& PBI nice to have) development, dashboarding and data modeling and visualization techniques.  Must be efficient in front-end development and know visualization best practices.

Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, AI architectures. Practical experience in MLOps tools like MLFlow, Azure ML, GCP Vertex, AWS Sagemaker.

At least 2 years of experience in a similar position.Familiarity with theory behind various machine learning concepts.

Developing and maintaining web applications using FastAPI, incorporating industry best standards.Writing high-quality Python code and automated tests.