RE COLLECTION SRL

Data Engineer

Athens

FULL TIME

November 13, 2024

Cerved is the largest information provider in Italy and one of the major credit rating agencies in Europe.
Via its subsidiary Cerved Credit Management, Cerved is also one of the leading independent players that offer solutions for the evaluation and management of credit exposures.
Cerved Property Services (CPS) is part of Cerved Group and one of the largest real estate companies in Greece and SE Europe.
Consists of an experienced and certified team aiming to deliver exemplary services to all spectrum of clients in specialized scopes of practice grouped in 5 basic pillars: Valuations, Asset Management, Energy & Property Facilities Management, Market Research & Analytic and Technical Projects.
Responsibilities:
  • Build and maintain scalable data pipelines
  • Implement data integration solutions for structured and unstructured data
  • Optimize database performance and storage
  • Collaborate on data governance and quality initiatives
Qualifications:
  • Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; a Master’s degree is a plus.
  • Experience 2+ years of hands-on experience in data engineering, data architecture, or a similar role.
  • Technical Skills
  • Proficiency in SQL and experience with relational databases (e.g., Postgre SQL, My SQL, Oracle).
  • Strong programming skills in Python, Java, or Scala, with an emphasis on data manipulation and processing.
  • Hands-on experience with ETL (Extract, Transform, Load) processes and tools, Apache Airflow, Informatica, Talend.
  • Familiarity with datalakehouse solutions such as Databricks and best practices.
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP), especially in relation to data storage, computing, and pipeline management.
  • Data Management Solid understanding of data modeling, data architecture, and data governance principles.
  • Big Data Tools Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) for handling large datasets is an advantage.
  • Data Quality & Security Knowledge of data quality principles, data cleansing techniques, and security best practices for managing sensitive data.
  • Soft Skills Strong problem-solving skills, ability to work cross-functionally, and excellent communication skills to convey complex data concepts to non-technical stakeholders.
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