Key Responsibilities:
We're looking for a talented professional to help us drive innovation and success. As a Data Engineer, you'll play a crucial role in designing, building, and maintaining data pipelines using Azure technologies.
Responsibilities include:
* Designing and implementing data ingestion, transformation, and storage solutions within Azure Data Lake Storage (ADLS).
* Developing and optimizing solutions in Azure Databricks with PySpark.
* Managing data workflows using Azure Data Factory (ADF).
* Collaborating with data architects, analysts, and business stakeholders to ensure high-quality data models.
* Ensuring performance, security, and reliability of all data systems.
Requirements:
To be successful in this role, you'll need:
* Hands-on experience with Azure technologies, including Azure Data Lake Storage, Azure Databricks, and Azure Data Factory.
* Strong understanding of data engineering principles and best practices.
* Excellent problem-solving skills and attention to detail.
* Ability to work collaboratively with cross-functional teams.
* Strong communication and interpersonal skills.
What We Offer:
We're committed to creating a positive and inclusive work environment that fosters growth and development. As a member of our team, you can expect:
* A comprehensive benefits package, including health insurance, life insurance, and retirement savings plan.
* Ongoing training and career development opportunities.
* A collaborative and dynamic work environment.
* The chance to work on challenging projects and make a meaningful impact.
Why Choose Us?
We're a forward-thinking organization that values diversity, equality, and inclusion. We're committed to creating a workplace that's welcoming and respectful to everyone.
Join us and be part of a team that's shaping the future of data engineering.