Senior Data Engineer: Pipelines, Modeling & Dashboards

GlobalLogic Inc.

Kraków

Hybrid

PLN 220,000 - 320,000

Full time

2 days ago
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Benefits offered by this job

Empowering Projects
Empowering Growth
Diversity & Inclusion
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Comprehensive Benefits
Flexible Opportunities

Job summary

GlobalLogic is seeking a Senior Data Engineer with strong experience in building and optimizing data pipelines and creating data models for analysis and dashboards. You will collaborate with developers, analysts, and product owners to ensure data is clean, reliable, and optimized for reporting.

Join a dynamic team focused on enhancing the digital journey for our users. This unit analyzes complex datasets to drive product innovation and improve customer experiences, translating raw data into

Qualifications

  • Proven experience in data engineering or related roles.
  • Hands-on experience with Databricks and Snowflake.
  • Proven experience with SQL.
  • Hands-on experience working with Python.
  • Strong understanding of ETL processes and automation.

Responsibilities

  • Pipeline Development: Develop and maintain data pipelines.
  • Data Quality: Create and schedule jobs to produce clean, reliable, and well-structured data tables.
  • Collaboration: Collaborate with developers, analysts, and product owners to ensure data is optimized for reporting and visualization.
  • Architecture & Strategy: Recommend best practices for data architecture, performance, and maintenance.
  • Visualization: Design and build dashboards to support data visualization and reporting.

Skills

Data engineering
Databricks
Snowflake
SQL
Python
ETL

Tools

PowerBI
ADX

Job description

GlobalLogic is seeking a Senior Data Engineer with strong experience in building and optimizing data pipelines and creating data models for analysis and dashboards. You will collaborate with developers, analysts, and product owners to ensure data is clean, reliable, and optimized for reporting.

Join a dynamic team focused on enhancing the digital journey for our users. This unit analyzes complex datasets to drive product innovation and improve customer experiences, translating raw data into

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