Acronis

Senior Data Engineer – Data Pipelines, Analytics

Acronis

full-time

Posted on:

Location Type: Remote

Location: Bulgaria

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Job Level

Senior

Tech Stack

ETLHadoopPySparkPythonSQLTableau

About the role

  • Internal Data Warehouse business model ownership
  • Data schema design and ownership, including comprehensive schema documentation
  • Investigation of current products data flows and operational databases which are subject of data semantic, lineage etc
  • Mediation between Services team, DWH developers and BI team to quickly resolve issues or introduce changes in data model
  • Data governance & Data quality
  • Introducing an automated data quality control, including anomalies detection and data loss
  • Business support of data loss incidents troubleshooting or data migration
  • Defining requirements for systems and services analytics
  • Data analysis
  • Manual and automated DWH data analysis and insights search
  • Search for hidden dependencies (correlations) of clients behavior based on their cohorts when interacting with the product
  • Participation in the creation of business metrics and their visualization (dashboard) for decision making

Requirements

  • Strong experience in Data Warehouse architecture, schema design, and ETL processes.
  • Expertise in SQL, with the ability to write and optimize complex queries.
  • Experience with BI tools (e.g. Tableau or Power BI)
  • Proficiency in Python for data manipulation, analysis, and building data pipelines.
  • Experience with Git for version control.
  • Preferred (Nice to Have): Experience with Hadoop, Hive, or PySpark.
  • Experience with tools like Confluence and Jira.
Benefits
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Hard Skills & Tools
Data Warehouse architectureschema designETL processesSQLPythondata manipulationdata analysisHadoopHivePySpark
Soft Skills
data governancedata qualityproblem solvingcommunicationcollaboration