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Cloud Data Engineer

●

4 days ago

Greece, Attiki, Athens
Full Time
Senior
Hybrid

Basic Information

 The Senior Cloud Data Engineer will be responsible for operating and optimizing our cloud-based data processing environment. The role involves working with Databricks, AWS services, Spark, Unity Catalog, and Delta Lake to ensure that data pipelines and analytics workloads run efficiently, securely, and reliably. 

Responsibilities

 
  • Refines data transformations using PySpark and Spark SQL within notebooks such as Databricks enabling efficient processing of large-scale datasets.
  • Leverages orchestration tools like Apache Airflow to automate, schedule, and oversees data workflows for consistent and reliable execution.
  • Participates in code reviews, testing, and documentation as part of the development lifecycle.
  • Supports and troubleshoots Databricks jobs, Spark workloads, and AWS-based data processes across DEV/QA/Production.
  • Optimizes Databricks clusters and jobs for performance and cost.
  • Maintains and improves existing data pipelines built with AWS (CodePipeline), Delta Lake, and Databricks Notebooks.
  • Works closely with data engineering and analytics teams to improve data quality and pipeline reliability.
  • Maintains and enhances CI/CD workflows for Databricks deployments using AWS tools.
  • Manages access controls with IAM and Unity Catalog, ensuring secure and compliant data usage.
  • Performs regular monitoring, troubleshooting, and root-cause analysis of data and compute workloads.
 

Requirements

Amazon Web Services (AWS)
CI/CD
Databricks
Extract Transform Load (ETL)
Pyspark
Python
SQL
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or similar
  • Proficient in Python, SQL, and PySpark
  • Strong hands-on experience with AWS, Databricks
  • Experience with monitoring, debugging, and optimizing ETL/ELT and Spark workloads

Benefits

Bonus structure
Continuous education
Private health insurance
Work equipment (ex. phone, laptop etc)
  • Bonus structure
  • Private health insurance

Good to have

  • Experience with CI/CD, version control, and release processes (AWS CodePipeline, Git)
  • Experience in orchestration tools like Apache Airflow

About the company

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About the company

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Cepal Financial Services S.A.

Cepal Financial Services S.A.

Data Science
Information Technology
Data Engineer
No longer accepting applications