(senior) Data Engineer

Merkle

Prague, Czech Republic
Not specified; not specified; competitive salaries...
Hybrid
Advanced python programming
Azure aws gcp public clouds
Databricks snowflake bigquery
The role involves designing and building big data architecture pipelines for data lake houses in the cloud while optimizing machine learning models

Job Summary

  • The role involves designing and building big data architecture pipelines for data lake houses in the cloud while optimizing machine learning models.
  • Candidates will collaborate with data architects and scientists on large projects for international brands to ensure consistent and optimal delivery.
  • Merkle offers a hybrid work model, competitive salaries, and opportunities to work with over 70,000 colleagues across 145 countries.

Matching Summary

The role involves designing and building big data architecture pipelines for data lake houses in the cloud while optimizing machine learning models.

Salary

Not specified; Not specified; Competitive salaries mentioned

Skills & Requirements

Must-have

  • Advanced Python programming
  • Azure AWS GCP public clouds
  • Databricks Snowflake BigQuery
  • Kafka Event Hubs Kinesis streaming
  • Airflow dbt Cloud Composer orchestration
  • CI/CD automation tools Azure DevOps

Nice-to-have

  • Power BI Tableau Looker experience
  • Adobe Analytics Google Analytics knowledge
  • Salesforce Cloud services familiarity
  • Startup-minded attitude
  • International team collaboration skills

Key Requirements

  • 3-7 years of Data Engineer experience
  • Experience with relational and NoSQL databases
  • Strong analytic skills for structured and unstructured datasets

Work Rights

Not specified

Tailored Resume

Cover Letter