Data Engineer (Databricks)

Location: Hybrid (Bucharest, Romania), 2 days/week on-site. Must be based in Bucharest or able to commute to the office.

Company

hirify.global is a global leader partnering with companies to transform and manage their business by harnessing the power of technology.

What you will do

• Automate deployments using CI/CD and infrastructure as code practices.
• Design and implement data processing solutions using Databricks for large-scale datasets.
• Design, build, and enhance data pipelines with Python and cloud-native tools.
• Work closely with solution architects to define and uphold best practices in data engineering.
• Ensure data consistency, security, and scalability within cloud-based environments.

Requirements

• Strong experience in data engineering, with at least 1 year of hands-on Databricks expertise.
• Strong experience in Python for automation and data transformation.
• Experience working with at least one major cloud platform (AWS, Azure, or GCP).
• Strong English language skills required.

Nice to have

• Solid understanding of SQL with experience in query optimization and data modeling.
• Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).
• Experience with real-time data streaming technologies such as Kafka or Spark Streaming.
• Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse.
• Hands-on experience with PySpark for distributed data processing.
• Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications.

Culture & Benefits

• Flexible and dynamic work environment involving teams spread across different global locations.
• Access to various training programs and platforms (e.g., content provided by Pluralsight, Harvard and Coursera).
• Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
• Promotes diversity, equity and inclusion in the workplace and society.