YOUR IMPACT ZONE:

• 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.

QUALIFICATIONS & TECH TOOLBOX:

• 1+ years of experience delivering data warehouse, data lake, or business intelligence solutions.

• Experience with cloud services such as Azure, AWS, or GCP.

• Proficient in Python for data-related tasks.

• Strong understanding of SQL, including data analysis and working with relational databases (e.g., SQL Server, PostgreSQL).

• Basic knowledge of public cloud architecture, security, and networking concepts (MS Azure experience preferred).

• Familiarity with data warehouse modeling practices and ETL/ELT development.

• Strong conceptual and analytical skills to solve data-related challenges.

EXTRA STARDUST FOR:

• Experience with Apache Spark or Databricks platform.

• Experience with Azure DevOps environment.

• Experience with Apache Airflow.

HERE’S WHY YOU’LL LOVE CLOUDFIDE:

• BENEFITS: Regardless of the form of employment - Budget for your professional development - training and certification. MyBenefit cafeteria (with Multisport). Medicover medical care. Team-building meetings and trips.

• FLEXIBILITY: Enjoy the freedom of working from anywhere, and have a genuine say on our tools, tech, and solutions.

• STABILITY: Stable and long-term employment (employment contract, B2B).

• START-UP CULTURE: Open communication, creative problem solving and a flat hierarchy.

• GROWTH: Skyrocket your career by exploring new territories – you can work on various projects related to Big Data and Cloud.

• COLLABORATION: Be part of our diverse, passionate team, where every voice matters. Work in a company full of well-coordinated people who do their work with passion and commitment.