Implement data ingestion pipelines from multiple data sources using Azure Data Factory, Azure Databricks and other ETL tools.
Develop scalable and re-usable, self-service frameworks for data ingestion and processing.
Design, build, and manage SQL Server databases in the Azure cloud.
Perform data modelling and integrating data from various systems.
Review and implement best practices for data manipulation.
Create and support Azure Data Factory pipelines.
Integrate e2e data pipelines to take data from data source to target data repositories ensuring the quality and consistency.
Communicate with the customers, provide them with technical insights as well as data interpretation.
Work both independently and in a team-oriented, collaborative, cross-functional and cross-cultural environment.
Requirements:
11+ years of professional experience in the Data & Analytics area.
5+ years of experience in the Senior Consultant role with a strong focus on Azure data solutions.
Advanced knowledge and understanding of architecture, application design, systems engineering, and integration.
Very good knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Especially Azure and Azure DataBricks.
Expertise in data modeling, data integration, and ETL processes. Proven experience in using of Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and SSIS).
Programming skills for data analysis (PySpark, SparkSQL, Python, SQL).
Familiarity with data governance, data security, and compliance standards.
Familiarity with agile methodologies and the ability to apply DevOps and DataOps principles to data pipelines.
Ability to use ARM templates
Experience in working with JSON
Good understanding of business processes and the ability to drive automation through effective management.
Strong problem-solving skills and attention to detail.
Excellent communication skills with regards to providing customers with technical insights as well as interpreting data for them.
Ability to work in a team and independently, showing strong ownership for the assigned scope.
Bachelor's degree in computer science, information technology, or related field. Master's degree is a plus.
Nice to have:
Relevant Azure certifications (e.g. Azure Data Engineer).
Experience with data visualization tools (e.g., Power BI, Tableau).
Knowledge of Logic Apps.
We offer:
Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.