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Senior Data Engineer

1 tydzień temu

Wrocław, Województwo dolnośląskie, Polska Luxoft Poland Pełny etat

At Luxoft Poland, we are seeking a highly skilled Data Engineer to join our team. As a Senior Python Developer, you will play a key role in maintaining and enhancing our current reporting system built in Python.

The primary focus of this role is to lead the migration to Azure Databricks to improve performance, scalability, and efficiency. You will be responsible for developing, optimizing, and automating reporting processes using PySpark and SQL, ensuring accurate and timely regulatory report generation.

This exciting opportunity allows you to work on critical financial reporting processes, contributing to regulatory compliance, data governance, and process efficiency improvements. You will work closely with risk teams, regulatory compliance teams, and data engineers to enhance reporting workflows and integrate the new system into our Azure cloud infrastructure.

You will have the opportunity to:

  • Maintain and enhance the existing Python-based reporting system, ensuring stability and accuracy in regulatory reporting.
  • Monitor, troubleshoot, and resolve issues in the current reporting workflows.
  • Ensure that reports comply with regulatory requirements and meet audit standards.
  • Lead the migration of the existing reporting system to Azure Databricks, ensuring a smooth transition.
  • Design and implement new, scalable reporting solutions using PySpark, SQL, and Databricks visualization tools.
  • Optimize data processing pipelines to enhance performance, reliability, and efficiency of regulatory reports.
  • Optimize PySpark performance to handle large-scale financial data processing for regulatory reporting.
  • Improve SQL query execution to ensure fast, efficient report generation.
  • Implement best practices for structured and unstructured data processing.
  • Automate reporting processes to reduce manual intervention and enhance accuracy.

We are looking for someone with strong technical skills in Databricks Concepts, Databricks performance optimizations, ACID properties of RDMS, Python, PySpark, and SQL Concepts. Additionally, experience with CI/CD DevOps Pipelines, ETL & Data Processing, and Cloud security and access controls (IAM, RBAC) is desired.