Remote Sr Azure Data Engineer/Data Architect

Description

Our client, founded in Poland, is a leading consulting and technology company specializing in data analysis, business intelligence (BI), and Big Data solutions. The company is dedicated to transforming data into valuable information that drives strategic decision-making, enabling organizations to optimize their operations and gain a competitive edge in the market.

With a solid reputation built on an innovative approach and the high quality of its services, our client has collaborated with some of the most recognized brands worldwide. Their team of experts employs cutting-edge technologies, including artificial intelligence and machine learning, to solve complex problems and improve operational efficiency for their clients. This ability to handle large volumes of data and extract actionable insights positions our client as a strategic and valuable partner across various sectors.

In addition to their technical expertise, our client is distinguished by a corporate culture focused on innovation and continuous development. The company invests significantly in staff training and the research and development of new technologies, ensuring they are always at the forefront of emerging technological trends. This proactive approach allows our client to anticipate market needs and offer solutions that address current challenges and prepare their clients for the future.

We are currently searching for a Remote Sr Azure Data Engineer/Data Architect:

Responsibilities

• 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.
• To Design, build, and manage SQL Server databases in the Azure cloud.
• Perform data modeling and integration of 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 sources to target data repositories, ensuring quality and consistency.
• Communicate with the customers and 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 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 regard to providing customers with technical insights as well as interpreting data for them.
• Ability to work in a team and independently, showing strong ownership of the assigned scope.
• Bachelor's degree in computer science, information technology, or related field. Master's degree is a plus. 

Desired 

• Relevant Azure certifications (e.g. Azure Data Engineer). 
• Experience with data visualization tools (e.g., Power BI, Tableau). 
• Knowledge of Logic Apps. 

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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