Big Data Engineer
Description
For a client, one of the most recognizable airlines in the world, we are looking for a Big Data Engineer. The person in this role will be involved in working with large volumes of data, including data modeling, data integrations, and ensuring data quality.
Key responsibilities
Deg and implementing robust ETL/ELT pipelines
Implementing efficient Spark/PySpark transformations, managing schemas and Delta Lake versioning
Integrating streaming and batch data sources
Implementing data quality control frameworks, monitoring, schema validation, and test suites
Collaborating on data modeling and metadata management
Working with technical documentation
Ideal candidate profile
Minimum 7 years of professional experience in data engineering, building large-scale data pipelines, or related roles
Strong knowledge of Azure Databricks, Spark (PySpark and/or Scala), and Delta Lake.
Experience with ADLS Gen2, data ingestion patterns, and streaming technologies.
Experience with streaming technologies such as Event Hubs and Kafka.
Knowledge of CI/CD for data artifacts and deployment practices in Databricks.
Experience in Python and/or Java, using test-driven development (TDD).
Nice to have:
Experience with tools such as Unity Catalog, Purview, or other metadata management and governance systems.
Knowledge of Apache Beam or other data processing frameworks.
Databricks or Azure Data Engineering certifications.
Conditions Working mode: Remote Form of cooperation: B2B Duration: long-term cooperation Salary depends on your experience Benefits: private medical care, life insurance, sport card
Recruitment steps Screening call with Recruiter (30 min.) Technical interview with Client Decision and feedback
W KUBO naprawdę zależy nam na ludziach. Zapraszamy osoby w różnym wieku, o różnych tożsamościach i sposobach funkcjonowania oraz niezależnie od sytuacji zdrowotnej i rodzinnej. Autentyczność jest dla nas wartością, a naszym celem jest uczciwy i otwarty proces dla wszystkich.
At KUBO, we genuinely care about people. We welcome candidates of all ages, backgrounds, identities, family constellations, health situations, and ways of thinking and interacting with the world. You’re welcome to be yourself — we value authenticity, and we’re committed to creating a fair and inclusive process for everyone.