Data Engineer

2 weeks ago

Bucharest Romania P3 Romania Full time €40,000 - €80,000 per year

Responsibilities

  • Data Architecture & Modeling: Design, implement, and maintain scalable data pipelines and architectures for batch and real-time processing.
  • ETL & Data Integration: Develop and optimize ETL/ELT processes to ingest structured and unstructured data from multiple sources.
  • Data Warehousing: Build and maintain data warehouses and data lakes; ensure efficient storage, retrieval, and partitioning strategies.
  • Data Quality & Governance: Implement data validation, monitoring, lineage, and access controls to ensure data accuracy, security, and compliance.
  • Performance Optimization: Tune queries, optimize pipelines, and improve reliability and scalability of data workflows.
  • Collaboration: Work closely with Data Scientists, Analysts, and Engineers to support business needs with reliable datasets.
  • Documentation & Knowledge Sharing: Maintain clear documentation, support knowledge transfer, and contribute to best practices across teams.


Tech Stack

  • Data Processing: Apache Spark, Databricks, Apache Beam, or Flink
  • ETL/Orchestration: Airflow, dbt, Luigi, Prefect
  • Databases/Warehousing: Snowflake, BigQuery, Redshift, PostgreSQL
  • Data Lakes & Storage: S3, Azure Data Lake, GCS
  • Programming: Python, SQL, Scala
  • IaC & Automation: Terraform, Kubernetes (for data services)
  • Observability: Prometheus, Grafana, or similar for pipeline monitoring
  • Security & IAM: Experience with role-based access, encryption, GDPR/PII compliance


Requirements

  • Proven experience as a Data Engineer, with hands-on expertise in building and maintaining data pipelines.
  • Strong SQL and Python skills; ability to work with large-scale datasets.
  • Experience with data warehouses, data lakes, and modern ETL/ELT frameworks.
  • Familiarity with cloud platforms (Azure, and IaC tools.
  • Knowledge of data governance, quality frameworks, and compliance requirements.
  • Strong problem-solving and debugging skills in distributed data environments.
  • Ability to collaborate effectively across teams and communicate technical topics clearly.

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