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Data Engineer (Snowflake) (Praca zdalna)

OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

Warszawa
27000 zł/mth.
Zdalna
SQL
GitHub
Jenkins
Jira
SonarQube
📊 Snowflake Data Cloud
🌐 Zdalna

Requirements

Expected technologies

SQL

GitHub

Jenkins

Jira

SonarQube

Snowflake Data Cloud

Optional technologies

Python

C#

Microsoft Azure

AWS

Operating system

Windows

Our requirements

  • Snowflake expertise for data warehousing, query optimization, and analytics.
  • Hands-on experience with Azure Data Factory for ETL and orchestration.
  • Strong proficiency in SQL for data manipulation and analysis.
  • Familiarity with software engineering lifecycle tools (GitHub, Jenkins, Jira, SonarQube).
  • Understanding of CI/CD processes and modern DevOps practices.
  • Solid understanding of the software development lifecycle (SDLC).
  • Excellent communication and collaboration skills.

Optional

  • Proficiency in Python or C# for automation and data workflows.
  • Experience with anomaly detection techniques and statistical analysis.
  • Knowledge of cloud platforms (Azure, AWS) and infrastructure monitoring.
  • Understanding of the business of engineering.
  • Ability to work independently and manage multiple priorities.

Your responsibilities

  • Aggregate data from diverse engineering tools (CI/CD pipelines, code repositories, issue trackers, observability platforms).
  • Integrate and manage data within Snowflake for scalable analytics and reporting.
  • Design and maintain Azure Data Factory pipelines for data ingestion and transformation.
  • Ensure data accuracy and consistency across all sources.
  • Build dashboards and reports in Power BI or Tableau to monitor engineering health metrics (velocity, quality, reliability).
  • Generate periodic and ad-hoc reports for leadership review.
  • Anomaly Detection & Analysis
  • Identify trends, anomalies, and outliers in engineering performance data.
  • Conduct root cause analyses and collaborate with engineering teams to resolve issues.
  • Partner with software engineering leaders to interpret insights and recommend actions.
  • Communicate findings clearly to both technical and non-technical audiences.
Wyświetlenia: 4
Opublikowanaokoło 2 miesiące temu
Wygasaza 4 dni
Tryb pracyZdalna
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