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Senior Data Engineer (Databricks, Python)

Senior Data Engineer (Databricks, Python)

BonapoliaWarszawa, Mazowieckie, .PL
17 hours ago
Job type
  • Quick Apply
Job description

For job seekers, BONAPOLIA offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment. We believe that the right job can transform lives, and we are committed to making that happen for you.

We are looking for a certified Data Engineer who will turn data into information, information into insight, and insight into business decisions. This is a unique opportunity to be one of the key drivers of change in our expanding company.

About the Customer

The customer is a leading provider of software solutions and healthcare services. They provide hospitals and health systems and help those systems generate better data and insights to enable better healthcare.

The customer offers a robust portfolio of solutions that can be fully integrated and custom-configured to help healthcare organizations efficiently capture information for assessing and improving the quality and safety of patient care.

Requirements

  • Background in Data Engineering with hands-on work using Databricks
  • Strong expertise in ETL processes and data pipeline development
  • Proficiency with Spark and Python for large-scale data processing in Databricks
  • Experience with data extraction from web-based sources (APIs, web scraping, or similar approaches)
  • Familiarity with handling structured and unstructured data and ensuring efficient data storage and access
  • Competency in Azure or other cloud platforms
  • Knowledge of SQL and database management for data validation and storage

English level

Upper-Intermediate

Responsibilities

  • Design, develop, and implement data ingestion and transformation pipelines using Databricks and Azure Databricks
  • Manage and orchestrate data extraction from a public information website, handling bulk data downloads efficiently
  • Develop solutions for periodic data updates (monthly), optimizing data refresh cycles to ensure accuracy and efficiency
  • Clean, aggregate, and transform the data for analysis, ensuring the quality and completeness of data
  • Collaborate with stakeholders to understand data requirements and propose solutions for efficient data management
  • Implement best practices for ETL processes in a Databricks environment, ensuring scalability and performance
  • Monitor and troubleshoot data pipelines, ensuring smooth operation and timely updates.
  • Document the data engineering processes, workflows, and architecture
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    Senior Data Engineer • Warszawa, Mazowieckie, .PL

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