Senior Data Engineer

At CLOUDFIDE, we do everything with data and contribute to pivotal projects for Fortune 500 companies. This is your chance to enhance your skills and leave your global footprint.

Our collaborative culture champions your professional growth. Dive into cloud data processing, gain hands-on big data experience, and leverage our team's expertise to drive your professional growth.

Here you'll have an opportunity to use advanced technologies to shape client strategies. With CLOUDFIDE, you can amplify your career alongside the industry's best.

• 4+ years of experience delivering complex data warehouse / data lake / business intelligence solutions.
• 2+ years of experience working with cloud services (Azure / GCP / AWS) - in Cloudfide you'll work with Azure.
• Knowledgeable and experienced in Python.
• Experience in SQL and data analysis, knowledge of relational databases (preferably SQL Server, PostgreSQL).
• Knowledge of public cloud architecture, security, networking concepts and best practices (MS Azure preferred).
• Knowledge of DWH data modeling practices and ETL/ELT development.
• Conceptual and analytical skills – the ability to define, analyze and document complex business and technical requirements.

Nice to have:

• Experience with Apache Spark or Databricks platform.
• Experience with Azure DevOps environment.
• Experience with Apache Airflow.

• Designing, implementing, and optimizing modern cloud-based solutions.
• Building and launching new data models and data pipelines.
• Implementing best practices in data engineering including data integrity, quality, and documentation.
• Optimization of existing analytical solutions.
• Leading small size teams of engineers and being a role model (optional).

CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.