Senior Data Engineer

Our requirements

• 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.

Optional

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

Your responsibilities

• 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).

About the project

This is how we organize our work

This is how we work on a project

• Clean Code
• code quality measures
• code review
• design patterns
• static code analysis
• architect / technical leader support
• Continuous Deployment
• Continuous Integration
• DevOps
• SysOps
• team-level deployment
• documentation

EQUAL OPPORTUNITY

What we offer

• 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.

Recruitment stages

• 1.
  Screening
• 2.
  Tech Interview
• 3.
  HR Interview

CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ