Ready to have an impact?
Publitas empowers businesses to deliver paperless discovery-commerce experiences that engage, inspire, and have the potential to reach more customers than was ever possible. We combine a healthy dose of persistence with the will to embrace crazy ideas and push new boundaries. Guided by a desire to do things better, we want to improve the world around us.
We are looking for a skilled Azure/Power BI Data Engineer to join our dynamic team on a part-time basis. In this role, you will design, develop, and maintain scalable data architectures to support our data-driven initiatives. You will collaborate with various teams to ensure data is integrated, accessible, and visualized effectively to drive business insights and decisions.
Ready to have an impact with us? Start the application process by filling out the screening questionnaire to see if Publitas is a good fit for you.
Take ownership by:
- Data Architecture and Modeling
-Design and construct data models and architectures tailored for scalable data collection, storage, processing, and accessibility using Azure Data Factory and Azure Cosmos DB. Ensure that the architecture supports current and future business needs.
- Data Pipeline Construction
-Build and maintain robust data pipelines essential for moving data from various sources to databases and data warehouses. Utilize Azure Data Factory for data extraction, transformation, and loading (ETL) processes.
- Data Storage and Data Warehousing
-Setting up and managing databases and data warehouses, such as Azure Synapse Analytics (or BigQuery). Select appropriate storage technologies and configure them to ensure data is stored efficiently and securely.
- Data Infrastructure Performance Optimization
-Monitor and optimize the performance of data pipelines and storage solutions to handle and query data efficiently. Leverage MS-SQL for tuning databases and scaling infrastructure to meet performance demands.
- Data Quality and Data Integrity
-Ensuring data accuracy and consistency across data sources. Implement methods and tools to maintain data quality and integrity, often automating checks and balances using tools like Power BI for data validation and visualization.
- Data Security and Compliance
-Implement security measures to protect data and ensure compliance with relevant data protection regulations (like GDPR or HIPAA). This includes managing data access controls and audit logs within the Azure ecosystem.
Job requirements:
This challenge will suit you if:
You have the following technical experience:
- Azure Data Factory: Experience in data integration and orchestration.
- Azure Cosmos DB: Proficiency in managing scalable, globally distributed NoSQL databases.
- Azure Synapse Analytics (or BigQuery): Expertise in data warehousing and large-scale data processing.
- Power BI: Advanced skills in data visualization and reporting.
- MS-SQL: Strong knowledge in relational database management, query optimization, and performance tuning.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 3+ years of experience as a Data Engineer or in a similar role.
- Hands-on experience with the Azure ecosystem and Power BI.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills
What we provide to help you achieve results:
- This is a part-time position, 20 hours per week, with the potential for full-time employment after 3 - 6 months
- A list of company perks to be discussed during the interview stage
- Competitive Salary
Please also have a read through our Recruitment FAQ
Publitas is proud to be an Equal Opportunity Employer. We strive to create an inclusive environment that empowers our employees all over the world. We want you to feel welcome, respected, and valued for who you are — it's our differences that make us stronger! We celebrate diversity and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Publitas welcomes all, we invite you to apply and join us!