Data Engineer • Senior

Who you are

You have 6+ years of experience in data engineering, with a strong proficiency in Python for data manipulation and automation. Your expertise includes building and optimizing ETL processes, data pipelines, and data warehouses or lakes. You are familiar with Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Blob Storage, which you have used to enhance data workflows.

You possess a solid understanding of both SQL and NoSQL databases, and you have experience in database design, optimization, and management. Your problem-solving abilities allow you to troubleshoot complex technical issues effectively and propose efficient solutions. You excel in teamwork and communication, collaborating effectively with diverse teams and stakeholders to achieve common goals.

What you'll do

In this role, you will be responsible for designing and implementing robust data pipelines that support the organization's data needs. You will work closely with cross-functional teams to ensure data integrity and availability, optimizing ETL processes to enhance performance. Your role will involve leveraging Azure cloud services to build scalable data solutions that meet business requirements.

You will also be tasked with monitoring and maintaining data systems, ensuring they operate efficiently and effectively. Collaborating with data analysts and other engineers, you will help define data architecture and best practices for data management. Your contributions will directly impact the organization's ability to leverage data for strategic decision-making.

What we offer

Emids provides a collaborative work environment where innovation is encouraged. You will have the opportunity to work on exciting projects that leverage cutting-edge technologies in the data engineering space. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us to make a significant impact in the field of data engineering and contribute to our mission of delivering high-quality data solutions.